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Please note that this page does not hosts or makes available any of the listed filenames. You
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| 1. 04-01 The Annotated Construct and Reducer Functions.ipynb |
7.62KB |
| 1. 04 The OpenAI API 01.ipynb |
6.04KB |
| 1. 07 Output Parsers 01.ipynb |
3.14KB |
| 1. 08 LCEL 01.ipynb |
4.23KB |
| 1. 2025-04-23_14-07-55-119cf2027c66d1a49d5f78a1aa2cb862.png |
60.73KB |
| 1. 2025-04-23_14-07-56-b347e333d754a83a5a3b81399e420d9c.png |
59.64KB |
| 1. 9.1Whisper AI Transformer-based speech-to-text.mp4 |
70.87MB |
| 1. 9.1Whisper AI Transformer-based speech-to-text.vtt |
8.81KB |
| 1. Access to AI technology for businesses of all sizes.mp4 |
69.61MB |
| 1. Access to AI technology for businesses of all sizes.vtt |
4.67KB |
| 1. Acoustic and language modeling.mp4 |
45.94MB |
| 1. Acoustic and language modeling.vtt |
4.37KB |
| 1. Adding Funds to Your OpenAI API Account.html |
2.23KB |
| 1. AI ethics.mp4 |
116.30MB |
| 1. AI ethics.vtt |
5.81KB |
| 1. AI strategist.mp4 |
105.35MB |
| 1. AI strategist.vtt |
5.37KB |
| 1. A note on the case study.html |
249B |
| 1. Audio file formats for speech recognition.mp4 |
73.04MB |
| 1. Audio file formats for speech recognition.vtt |
8.02KB |
| 1. Basic Python Syntax - Arithmetic Operators.mp4 |
15.44MB |
| 1. Basic Python Syntax - Arithmetic Operators.vtt |
3.87KB |
| 1. Building a custom text classifier.mp4 |
18.79MB |
| 1. Building a custom text classifier.vtt |
1.03KB |
| 1. Building an AI tool in 5 minutes A quick demo.mp4 |
44.96MB |
| 1. Building an AI tool in 5 minutes A quick demo.vtt |
11.64KB |
| 1. Checkpointers and threads.mp4 |
27.77MB |
| 1. Checkpointers and threads.vtt |
3.81KB |
| 1. Conditional Statements - The IF Statement.mp4 |
10.80MB |
| 1. Conditional Statements - The IF Statement.vtt |
3.29KB |
| 1. Deep learning recap.mp4 |
53.07MB |
| 1. Deep learning recap.vtt |
2.84KB |
| 1. Equity in access to AI technology.mp4 |
55.46MB |
| 1. Equity in access to AI technology.vtt |
3.74KB |
| 1. Ethical challenges in working with labeled data.mp4 |
61.06MB |
| 1. Ethical challenges in working with labeled data.vtt |
4.27KB |
| 1. Ethical sourcing and types of data.mp4 |
70.58MB |
| 1. Ethical sourcing and types of data.vtt |
4.61KB |
| 1. First Steps.mp4 |
28.12MB |
| 1. First Steps.vtt |
4.22KB |
| 1. Functions_Exercises.ipynb |
6.35KB |
| 1. Functions_Lectures.ipynb |
12.48KB |
| 1. Functions_Solutions.ipynb |
10.72KB |
| 1. Functions - Defining a Function in Python.mp4 |
6.28MB |
| 1. Functions - Defining a Function in Python.vtt |
2.39KB |
| 1. Global AI and data regulations.mp4 |
26.41MB |
| 1. Global AI and data regulations.vtt |
1.94KB |
| 1. GPT vs BERT.mp4 |
65.29MB |
| 1. GPT vs BERT.vtt |
3.19KB |
| 1. GPT vs BERT vs XLNET.mp4 |
87.58MB |
| 1. GPT vs BERT vs XLNET.vtt |
4.88KB |
| 1. Hosting an LLM vs Using an API.mp4 |
43.82MB |
| 1. Hosting an LLM vs Using an API.vtt |
4.71KB |
| 1. How do humans recognize speech.mp4 |
41.07MB |
| 1. How do humans recognize speech.vtt |
3.95KB |
| 1. How to integrate custom data into an LLM.mp4 |
46.31MB |
| 1. How to integrate custom data into an LLM.vtt |
4.37KB |
| 1. Hugging Face package.mp4 |
57.92MB |
| 1. Hugging Face package.vtt |
2.91KB |
| 1. If-Elif-Else Statements_Exercises.ipynb |
3.39KB |
| 1. If-Elif-Else Statements_Lectures.ipynb |
6.09KB |
| 1. If-Elif-Else Statements_Solutions.ipynb |
5.08KB |
| 1. Inconsistency and hallucination.mp4 |
56.75MB |
| 1. Inconsistency and hallucination.vtt |
2.77KB |
| 1. Initializing an OpenAI Client.mp4 |
22.36MB |
| 1. Initializing an OpenAI Client.vtt |
4.34KB |
| 1. Installing Anaconda.mp4 |
16.89MB |
| 1. Installing Anaconda.vtt |
2.82KB |
| 1. Intellectual property and user consent in AI interactions.mp4 |
50.82MB |
| 1. Intellectual property and user consent in AI interactions.vtt |
3.80KB |
| 1. Introduction.mp4 |
19.26MB |
| 1. Introduction.vtt |
2.03KB |
| 1. Introduction to Object Oriented Programming (OOP).mp4 |
28.17MB |
| 1. Introduction to Object Oriented Programming (OOP).vtt |
5.66KB |
| 1. Introduction to semantic search.mp4 |
31.36MB |
| 1. Introduction to semantic search.vtt |
5.03KB |
| 1. Introduction to the course.mp4 |
54.54MB |
| 1. Introduction to the course.mp4 |
49.41MB |
| 1. Introduction to the course.mp4 |
60.67MB |
| 1. Introduction to the course.mp4 |
37.05MB |
| 1. Introduction to the Course.mp4 |
44.85MB |
| 1. Introduction to the course.vtt |
3.27KB |
| 1. Introduction to the course.vtt |
3.08KB |
| 1. Introduction to the course.vtt |
5.48KB |
| 1. Introduction to the course.vtt |
3.79KB |
| 1. Introduction to the Course.vtt |
4.04KB |
| 1. Introduction to Using Basic Python's Syntax_Solutions.ipynb |
10.41KB |
| 1. Introduction to Using Basic Python’s Syntax_Exercises.ipynb |
6.26KB |
| 1. Introduction to Using Basic Python’s Syntax_Lectures.ipynb |
10.71KB |
| 1. Introduction to vector space.mp4 |
52.68MB |
| 1. Introduction to vector space.vtt |
5.92KB |
| 1. Intro to AI - Course notes.pdf |
405.96KB |
| 1. Intro-to-AI-Flashcards.txt |
75B |
| 1. Iteration_Exercises.ipynb |
7.16KB |
| 1. Iteration_Lectures.ipynb |
6.77KB |
| 1. Iteration_Solutions.ipynb |
11.25KB |
| 1. Iteration - For Loops.mp4 |
11.55MB |
| 1. Iteration - For Loops.vtt |
3.11KB |
| 1. Jupyter - Introduction.mp4 |
32.33MB |
| 1. Jupyter - Introduction.vtt |
4.23KB |
| 1. Key concepts Sample Rate, bit depth, and bit rate.mp4 |
51.32MB |
| 1. Key concepts Sample Rate, bit depth, and bit rate.vtt |
5.54KB |
| 1. Machine learning.mp4 |
119.75MB |
| 1. Machine learning.vtt |
7.02KB |
| 1. Modern practices and applications.mp4 |
75.88MB |
| 1. Modern practices and applications.vtt |
6.13KB |
| 1. More on Working with Operators_Exercises.ipynb |
3.56KB |
| 1. More on Working with Operators_Lectures.ipynb |
8.16KB |
| 1. More on Working with Operators_Solutions.ipynb |
5.38KB |
| 1. Numerical representation of text.mp4 |
33.26MB |
| 1. Numerical representation of text.vtt |
1.91KB |
| 1. Operators - Comparison Operators.mp4 |
8.22MB |
| 1. Operators - Comparison Operators.vtt |
2.29KB |
| 1. Piping a prompt, model, and an output parser.mp4 |
35.98MB |
| 1. Piping a prompt, model, and an output parser.vtt |
7.14KB |
| 1. Privacy.mp4 |
54.31MB |
| 1. Privacy.vtt |
3.82KB |
| 1. Programming Explained in a Few Minutes.mp4 |
44.27MB |
| 1. Programming Explained in a Few Minutes.vtt |
6.74KB |
| 1. Python programming.mp4 |
43.79MB |
| 1. Python programming.vtt |
2.14KB |
| 1. Python Variables.mp4 |
14.07MB |
| 1. Python Variables.vtt |
4.27KB |
| 1. Python Variables and Types of Data_Exercises.ipynb |
6.22KB |
| 1. Python Variables and Types of Data_Lectures.ipynb |
13.36KB |
| 1. Python Variables and Types of Data_Solutions.ipynb |
11.56KB |
| 1. Robotics.mp4 |
93.33MB |
| 1. Robotics.vtt |
5.07KB |
| 1. Sequences_Exercises.ipynb |
10.01KB |
| 1. Sequences_Lectures.ipynb |
18.03KB |
| 1. Sequences_Solutions.ipynb |
19.22KB |
| 1. Sequences - Lists.mp4 |
17.63MB |
| 1. Sequences - Lists.vtt |
4.42KB |
| 1. Setting up a custom anaconda environment for Jupyter integration.mp4 |
15.73MB |
| 1. Setting up a custom anaconda environment for Jupyter integration.vtt |
3.91KB |
| 1. Setting up environment.mp4 |
57.59MB |
| 1. Setting up environment.vtt |
7.30KB |
| 1. Setting up the environment.mp4 |
38.09MB |
| 1. Setting up the environment.vtt |
4.30KB |
| 1. Speech Recognition with Python.ipynb |
13.40KB |
| 1. States, nodes, and edges.mp4 |
48.79MB |
| 1. States, nodes, and edges.vtt |
6.18KB |
| 1. String output parser.mp4 |
12.29MB |
| 1. String output parser.vtt |
2.70KB |
| 1. Structured vs unstructured data.mp4 |
37.71MB |
| 1. Structured vs unstructured data.vtt |
1.86KB |
| 1. Text tagging.mp4 |
23.00MB |
| 1. Text tagging.vtt |
1.60KB |
| 1. The Annotated construct and reducer functions.mp4 |
37.15MB |
| 1. The Annotated construct and reducer functions.vtt |
4.99KB |
| 1. The importance of data preparation.mp4 |
33.81MB |
| 1. The importance of data preparation.vtt |
2.17KB |
| 1. The LangChain framework.mp4 |
63.14MB |
| 1. The LangChain framework.vtt |
6.64KB |
| 1. The rise of Gen AI Introducing ChatGPT.mp4 |
44.34MB |
| 1. The rise of Gen AI Introducing ChatGPT.vtt |
2.29KB |
| 1. Time-domain audio features.mp4 |
75.07MB |
| 1. Time-domain audio features.vtt |
8.06KB |
| 1. Tokens.mp4 |
45.62MB |
| 1. Tokens.vtt |
6.87KB |
| 1. Understanding ChatGPT.mp4 |
70.98MB |
| 1. Understanding ChatGPT.vtt |
4.57KB |
| 1. Understanding noise in audio files.mp4 |
39.34MB |
| 1. Understanding noise in audio files.vtt |
4.50KB |
| 1. Vector databases, comparison.mp4 |
75.96MB |
| 1. Vector databases, comparison.vtt |
8.64KB |
| 1. Welcome to the course!.mp4 |
24.67MB |
| 1. Welcome to the course!.vtt |
3.04KB |
| 1. Welcome to the world of Speech Recognition.mp4 |
76.29MB |
| 1. Welcome to the world of Speech Recognition.vtt |
6.08KB |
| 1. What does GPT mean.mp4 |
30.91MB |
| 1. What does GPT mean.vtt |
1.46KB |
| 1. What does the course cover.mp4 |
86.68MB |
| 1. What does the course cover.vtt |
5.38KB |
| 1. What is deep learning.mp4 |
52.54MB |
| 1. What is deep learning.vtt |
3.59KB |
| 1. What is sentiment analysis.mp4 |
37.13MB |
| 1. What is sentiment analysis.vtt |
2.46KB |
| 1. What is topic modelling.mp4 |
56.91MB |
| 1. What is topic modelling.vtt |
3.78KB |
| 10. 08 LCEL 10.ipynb |
3.04KB |
| 10. 09 RAG 10.ipynb |
3.17KB |
| 10. 2.9-Practical.txt |
112B |
| 10.38 Logical and Identity Operators - Exercise #3.html |
4.40KB |
| 10.51 Combining Conditional Statements and Functions - Exercise #1.html |
5.25KB |
| 10.67 Using Methods - Exercise #2.html |
4.93KB |
| 10.6 Numbers and Boolean Values - Exercise #2.html |
4.45KB |
| 10.92 Create Lists with the range() Function - Exercise #3.html |
4.48KB |
| 10.9 Basic Python Syntax - Arithmetic Operators.html |
16.25KB |
| 10. Adding custom data to our chatbot.mp4 |
24.44MB |
| 10. Adding custom data to our chatbot.vtt |
4.73KB |
| 10. Buy vs Make foundation models vs private models.mp4 |
53.31MB |
| 10. Buy vs Make foundation models vs private models.vtt |
2.56KB |
| 10. Concluding the Planning Stage.mp4 |
20.02MB |
| 10. Concluding the Planning Stage.vtt |
2.36KB |
| 10. Conditional Statements - A Note on Boolean Values.mp4 |
8.89MB |
| 10. Conditional Statements - A Note on Boolean Values.vtt |
2.66KB |
| 10. course_section_descriptions.csv |
1.15MB |
| 10. Data preprocessing and embedding for courses with section data.mp4 |
24.47MB |
| 10. Data preprocessing and embedding for courses with section data.vtt |
5.45KB |
| 10. If-Elif-Else Statements_Exercises.ipynb |
3.39KB |
| 10. If-Elif-Else Statements_Lectures.ipynb |
6.09KB |
| 10. If-Elif-Else Statements_Solutions.ipynb |
5.08KB |
| 10. Indexing Document splitting with Markdown header text splitter.mp4 |
44.78MB |
| 10. Indexing Document splitting with Markdown header text splitter.vtt |
6.90KB |
| 10. Introduction_to_Data_and_Data_Science_2.docx |
18.19KB |
| 10. Practical task.mp4 |
60.60MB |
| 10. Practical task.vtt |
10.04KB |
| 10. Scaling.mp4 |
32.28MB |
| 10. Scaling.vtt |
3.70KB |
| 10. The @chain decorator.mp4 |
20.38MB |
| 10. The @chain decorator.vtt |
4.92KB |
| 10. tripadvisor_hotel_reviews.csv |
65.92KB |
| 11. 09 RAG 11.ipynb |
4.44KB |
| 11.18 Conditional Statements - A Note on Boolean Values.html |
16.21KB |
| 11.24 Iteration - Creatie Lists with the range() Function.html |
16.51KB |
| 11.39 Logical and Identity Operators - Exercise #4.html |
4.69KB |
| 11. 4.10 Pinecone Semantic Search Course Description weighted assignment.ipynb |
10.87KB |
| 11.68 Using Methods - Exercise #3.html |
4.88KB |
| 11.7 Numbers and Boolean Values - Exercise #3.html |
4.28KB |
| 11. Assignment 2.html |
459B |
| 11. Basic Python Syntax - The Double Equality Sign.mp4 |
4.95MB |
| 11. Basic Python Syntax - The Double Equality Sign.vtt |
1.60KB |
| 11. Conclusion.mp4 |
14.99MB |
| 11. Conclusion.vtt |
1.57KB |
| 11. Functions - Creating Functions Containing a Few Arguments.mp4 |
6.02MB |
| 11. Functions - Creating Functions Containing a Few Arguments.vtt |
1.23KB |
| 11. Indexing Text embedding with OpenAI.mp4 |
42.42MB |
| 11. Indexing Text embedding with OpenAI.vtt |
6.87KB |
| 12. 09 RAG 12.ipynb |
3.87KB |
| 12.23 The Double Equality Sign - Exercise #1.html |
4.72KB |
| 12. 4. 365 Courses and Sections Semantic Search Embedding.ipynb |
13.34KB |
| 12.40 Logical and Identity Operators - Exercise #5.html |
4.64KB |
| 12.69 Using Methods - Exercise #4.html |
4.66KB |
| 12.8 Numbers and Boolean Values - Exercise #4.html |
4.44KB |
| 12. Functions_Exercises.ipynb |
6.35KB |
| 12. Functions_Lectures.ipynb |
12.48KB |
| 12. Functions_Solutions.ipynb |
10.72KB |
| 12. Functions - Notable Built-in Functions in Python.mp4 |
17.85MB |
| 12. Functions - Notable Built-in Functions in Python.vtt |
3.89KB |
| 12. Indexing Creating a Chroma vectorstore.mp4 |
33.42MB |
| 12. Indexing Creating a Chroma vectorstore.vtt |
6.58KB |
| 12. Iteraion - Use Conditional Statements and Loops Together.mp4 |
12.61MB |
| 12. Iteraion - Use Conditional Statements and Loops Together.vtt |
3.44KB |
| 12. Upserting the new updated files to Pinecone.mp4 |
15.54MB |
| 12. Upserting the new updated files to Pinecone.vtt |
2.76KB |
| 13. 09 RAG 13.ipynb |
5.52KB |
| 13.10 Basic Python Syntax - The Double Equality Sign.html |
16.28KB |
| 13.21 Sequences - Using Methods.html |
16.38KB |
| 13. 4. 365 Courses and Sections Semantic Search Upserting the data.ipynb |
13.34KB |
| 13.41 Logical and Identity Operators - Exercise #6.html |
4.63KB |
| 13.52 Notable Built-in Functions in Python - Exercise #1.html |
4.55KB |
| 13.93 Conditional Statements and Loops - Exercise #1.html |
4.73KB |
| 13.9 Numbers and Boolean Values - Exercise #5.html |
4.49KB |
| 13. Indexing Inspecting and managing documents in a vectorstore.mp4 |
27.98MB |
| 13. Indexing Inspecting and managing documents in a vectorstore.vtt |
4.71KB |
| 13. Similarity search and querying courses and sections data.mp4 |
45.16MB |
| 13. Similarity search and querying courses and sections data.vtt |
5.27KB |
| 14. 09 RAG 14.ipynb |
4.31KB |
| 14.16 Operators - Logical and Identity Operators.html |
17.21KB |
| 14.53 Notable Built-in Functions in Python - Exercise #2.html |
4.62KB |
| 14.7 Types of Data - Numbers and Boolean Values.html |
16.17KB |
| 14.94 Conditional Statements and Loops - Exercise #2.html |
5.02KB |
| 14. Assignment 3.html |
448B |
| 14. Basic Python Syntax - Reassign Values.mp4 |
3.34MB |
| 14. Basic Python Syntax - Reassign Values.vtt |
1.21KB |
| 14. Pinecone Semantic Search Course Section Weighted.ipynb |
11.12KB |
| 14. Retrieval Similarity search.mp4 |
46.91MB |
| 14. Retrieval Similarity search.vtt |
6.33KB |
| 14. Sequences - List Slicing.mp4 |
23.96MB |
| 14. Sequences - List Slicing.vtt |
4.98KB |
| 15. 09 RAG 15.ipynb |
4.04KB |
| 15.24 Reassign Values - Exercise #1.html |
4.16KB |
| 15. 4. 365 Courses and Sections Semantic Search.ipynb |
13.34KB |
| 15.54 Notable Built-in Functions in Python - Exercise #3.html |
4.42KB |
| 15.70 List Slicing - Exercise #1.html |
4.58KB |
| 15.95 Conditional Statements and Loops - Exercise #3.html |
4.77KB |
| 15. Python Variables and Types of Data_Exercises.ipynb |
6.22KB |
| 15. Python Variables and Types of Data_Lectures.ipynb |
13.36KB |
| 15. Python Variables and Types of Data_Solutions.ipynb |
11.56KB |
| 15. Retrieval Maximal Marginal Relevance (MMR) search.mp4 |
70.32MB |
| 15. Retrieval Maximal Marginal Relevance (MMR) search.vtt |
7.65KB |
| 15. Types of Data - Strings.mp4 |
24.11MB |
| 15. Types of Data - Strings.vtt |
6.59KB |
| 15. Using the BERT embedding algorithm.mp4 |
43.87MB |
| 15. Using the BERT embedding algorithm.vtt |
4.92KB |
| 16. 09 RAG 16.ipynb |
3.68KB |
| 16.10 Strings - Exercise #1.html |
4.81KB |
| 16.25 Reassign Values - Exercise #2.html |
4.85KB |
| 16.55 Notable Built-in Functions in Python - Exercise #4.html |
4.41KB |
| 16.71 List Slicing - Exercise #2.html |
4.56KB |
| 16. Iteration - Conditional Statements, Functions, and Loops.mp4 |
8.15MB |
| 16. Iteration - Conditional Statements, Functions, and Loops.vtt |
2.15KB |
| 16. Retrieval Vectorstore-backed retriever.mp4 |
25.65MB |
| 16. Retrieval Vectorstore-backed retriever.vtt |
3.87KB |
| 16. Vector database for recommendation engines.mp4 |
45.05MB |
| 16. Vector database for recommendation engines.vtt |
4.67KB |
| 17. 09 RAG 17.ipynb |
6.54KB |
| 17.11 Strings - Exercise #2.html |
4.34KB |
| 17.26 Reassign Values - Exercise #3.html |
4.16KB |
| 17.56 Notable Built-in Functions in Python - Exercise #5.html |
4.60KB |
| 17.72 List Slicing - Exercise #3.html |
4.62KB |
| 17.96 Conditional Statements, Functions, and Loops - Exercise #1.html |
4.68KB |
| 17. Generation Stuffing documents.mp4 |
28.55MB |
| 17. Generation Stuffing documents.vtt |
4.74KB |
| 17. Vector database for semantic image search.mp4 |
49.13MB |
| 17. Vector database for semantic image search.vtt |
5.05KB |
| 18. 09 RAG 18.ipynb |
5.35KB |
| 18.12 Strings - Exercise #3.html |
4.51KB |
| 18.27 Reassign Values - Exercise #4.html |
4.78KB |
| 18.57 Notable Built-in Functions in Python - Exercise #6.html |
4.76KB |
| 18.73 List Slicing - Exercise #4.html |
4.52KB |
| 18. Generation Generating a response.mp4 |
41.05MB |
| 18. Generation Generating a response.vtt |
4.03KB |
| 18. Prompts for Python Coding.pdf |
3.26MB |
| 18. Using the Anaconda Assistant Several Python Tools.mp4 |
48.98MB |
| 18. Using the Anaconda Assistant Several Python Tools.vtt |
6.77KB |
| 18. Vector database for biomedical research.mp4 |
33.60MB |
| 18. Vector database for biomedical research.vtt |
5.06KB |
| 19.11 Basic Python Syntax - Reassign Values.html |
16.46KB |
| 19.13 Strings - Exercise #4.html |
4.38KB |
| 19.58 Notable Built-in Functions in Python - Exercise #7.html |
4.54KB |
| 19.74 List Slicing - Exercise #5.html |
4.61KB |
| 19. Iteration_Exercises.ipynb |
7.16KB |
| 19. Iteration_Lectures.ipynb |
6.77KB |
| 19. Iteration_Solutions.ipynb |
11.25KB |
| 19. Iteration - Iterating over Dictionaries.mp4 |
13.44MB |
| 19. Iteration - Iterating over Dictionaries.vtt |
3.42KB |
| 2. 03-02 First Graph.ipynb |
3.07KB |
| 2. 04-02 Reducer Functions in Action.ipynb |
7.94KB |
| 2. 05-02 Short-Term Memory with the InMemorySaver Class.ipynb |
7.88KB |
| 2. 05 Model IO 02.ipynb |
2.75KB |
| 2. 07 Output Parsers 02.ipynb |
3.67KB |
| 2. 08 LCEL 02.ipynb |
3.45KB |
| 2.15 Arithmetic Operators - Exercise #1.html |
4.85KB |
| 2. 2.2-Lowercase.txt |
112B |
| 2.26 How do humanz recognize speech.html |
16.29KB |
| 2. 3.2-Parts-of-Speech-POS-Tagging.txt |
116B |
| 2.32 Comparison Operators - Exercise #1.html |
4.73KB |
| 2. 4.2-Rule-based-Sentiment-Analysis.txt |
127B |
| 2.42 The IF Statement - Exercise #1.html |
5.01KB |
| 2. 5.2-Bag-of-Words.txt |
119B |
| 2.61 Lists - Exercise #1.html |
4.74KB |
| 2.87 For Loops - Exercise #1.html |
4.64KB |
| 2. AI developer.mp4 |
91.09MB |
| 2. AI developer.vtt |
4.58KB |
| 2. AI Ethics - Course Notes.pdf |
701.46KB |
| 2. AI Lifecycle Infographic.pdf |
1.44MB |
| 2. A note on the following lecture.html |
381B |
| 2. A note on variability.html |
2.72KB |
| 2. app1.py |
1.97KB |
| 2. Application Structure.mp4 |
40.74MB |
| 2. Application Structure.vtt |
3.98KB |
| 2. Audio signal processing for Machine Learning and AI.mp4 |
68.60MB |
| 2. Audio signal processing for Machine Learning and AI.vtt |
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| 2. Bag of Words model.mp4 |
13.25MB |
| 2. Bag of Words model.vtt |
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| 2. Batching.mp4 |
34.01MB |
| 2. Batching.vtt |
5.27KB |
| 2. BERT architecture.mp4 |
99.25MB |
| 2. BERT architecture.vtt |
5.10KB |
| 2. Budgeting and API costs.mp4 |
61.00MB |
| 2. Budgeting and API costs.vtt |
3.03KB |
| 2. Building-a-Custom-Classifier.txt |
137B |
| 2. Challenges and limitations.mp4 |
39.38MB |
| 2. Challenges and limitations.vtt |
3.08KB |
| 2. ChatOpenAI.mp4 |
41.70MB |
| 2. ChatOpenAI.vtt |
7.50KB |
| 2. Comma-separated list output parser.mp4 |
18.41MB |
| 2. Comma-separated list output parser.vtt |
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| 2. Computer vision.mp4 |
93.32MB |
| 2. Computer vision.vtt |
4.65KB |
| 2. Course materials and notebooks.html |
443B |
| 2. Course materials and notebooks.html |
449B |
| 2. Course materials and notebooks.html |
134B |
| 2. Course materials and notebooks.html |
128B |
| 2. Creating a spectrogram with Python.mp4 |
57.18MB |
| 2. Creating a spectrogram with Python.vtt |
7.80KB |
| 2. Deep learning for NLP.mp4 |
39.16MB |
| 2. Deep learning for NLP.vtt |
2.04KB |
| 2. Distance metrics in vector space.mp4 |
63.98MB |
| 2. Distance metrics in vector space.vtt |
7.58KB |
| 2. Downloads.rar |
6.63MB |
| 2. Early approaches to Natural Language Processing (NLP).mp4 |
52.33MB |
| 2. Early approaches to Natural Language Processing (NLP).vtt |
2.81KB |
| 2. Ethical considerations for unlabeled data.mp4 |
44.58MB |
| 2. Ethical considerations for unlabeled data.vtt |
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| 2. Ethical considerations in human-AI collaboration.mp4 |
44.52MB |
| 2. Ethical considerations in human-AI collaboration.vtt |
2.58KB |
| 2. Ethical responsibilities of foundation model developers.mp4 |
44.12MB |
| 2. Ethical responsibilities of foundation model developers.vtt |
3.40KB |
| 2. European Union GDPR and the EU Artificial Intelligence Act.mp4 |
71.92MB |
| 2. European Union GDPR and the EU Artificial Intelligence Act.vtt |
5.10KB |
| 2. fake_news_data.csv |
465.36KB |
| 2. First graph Importing relevant classes.mp4 |
17.86MB |
| 2. First graph Importing relevant classes.vtt |
3.96KB |
| 2. Frequency-domain and time-frequency-domain audio features.mp4 |
78.90MB |
| 2. Frequency-domain and time-frequency-domain audio features.vtt |
7.46KB |
| 2. Functions - Creating a Function with a Parameter.mp4 |
18.08MB |
| 2. Functions - Creating a Function with a Parameter.vtt |
4.03KB |
| 2. Future of AI.mp4 |
95.68MB |
| 2. Future of AI.vtt |
4.72KB |
| 2. Hidden Markov Models (HMMs) and traditional neural networks.mp4 |
65.74MB |
| 2. Hidden Markov Models (HMMs) and traditional neural networks.vtt |
7.95KB |
| 2. How we collect data.mp4 |
79.78MB |
| 2. How we collect data.vtt |
4.15KB |
| 2. HuggingFace-Transformers.txt |
126B |
| 2. Implementing the Chat Functionality.mp4 |
32.19MB |
| 2. Implementing the Chat Functionality.vtt |
7.06KB |
| 2. Importing audio files in Jupyter Notebook.mp4 |
52.03MB |
| 2. Importing audio files in Jupyter Notebook.vtt |
8.64KB |
| 2. Introducing the project.mp4 |
18.15MB |
| 2. Introducing the project.vtt |
3.75KB |
| 2. Introduction to RAG.mp4 |
42.79MB |
| 2. Introduction to RAG.vtt |
4.15KB |
| 2. Introduction to the case study – smart search for data science courses.mp4 |
48.20MB |
| 2. Introduction to the case study – smart search for data science courses.vtt |
6.42KB |
| 2. Intro to AI - Course notes.pdf |
405.96KB |
| 2. Intro-to-AI-Flashcards.txt |
75B |
| 2. Jupyter - Installing Anaconda.mp4 |
24.77MB |
| 2. Jupyter - Installing Anaconda.vtt |
4.07KB |
| 2. langchain_module_files.zip |
204.97KB |
| 2. Libraries and Code Breakdown.pdf |
87.17KB |
| 2. Logistic regression.mp4 |
31.08MB |
| 2. Logistic regression.vtt |
4.84KB |
| 2. Lowercase.mp4 |
8.04MB |
| 2. Lowercase.vtt |
2.09KB |
| 2. Models and Prices.mp4 |
45.20MB |
| 2. Models and Prices.vtt |
3.90KB |
| 2. Module Resources.html |
154B |
| 2. Modules, Packages, and the Python Standard Library.mp4 |
42.74MB |
| 2. Modules, Packages, and the Python Standard Library.vtt |
5.86KB |
| 2. Obtaining an OpenAI API key.mp4 |
14.03MB |
| 2. Obtaining an OpenAI API key.vtt |
2.20KB |
| 2. Open-Source vs Closed-Source Models.mp4 |
87.13MB |
| 2. Open-Source vs Closed-Source Models.vtt |
7.56KB |
| 2. Parts of Speech (POS) tagging.mp4 |
24.60MB |
| 2. Parts of Speech (POS) tagging.vtt |
4.62KB |
| 2. Pinecone registration, walkthrough and creating an Index.mp4 |
24.23MB |
| 2. Pinecone registration, walkthrough and creating an Index.vtt |
4.92KB |
| 2. Privacy concerns with ChatGPT.mp4 |
62.52MB |
| 2. Privacy concerns with ChatGPT.vtt |
4.08KB |
| 2. Proprietary data.mp4 |
42.11MB |
| 2. Proprietary data.vtt |
3.64KB |
| 2. Python Coding Exercises.mp4 |
45.20MB |
| 2. Python Coding Exercises.vtt |
9.23KB |
| 2. Reducer functions in action.mp4 |
33.99MB |
| 2. Reducer functions in action.vtt |
3.70KB |
| 2. Rule-based sentiment analysis.mp4 |
28.76MB |
| 2. Rule-based sentiment analysis.vtt |
6.27KB |
| 2. Setting up a new environment.mp4 |
24.90MB |
| 2. Setting up a new environment.vtt |
2.80KB |
| 2. Short-term memory with the InMemorySaver class.mp4 |
39.23MB |
| 2. Short-term memory with the InMemorySaver class.vtt |
5.52KB |
| 2. speech_01.wav |
2.97MB |
| 2. Speech Recognition with Python.ipynb |
13.40KB |
| 2. Streamlit's Pros and Cons.mp4 |
31.23MB |
| 2. Streamlit's Pros and Cons.vtt |
3.46KB |
| 2. Supervised, Unsupervised, and Reinforcement learning.mp4 |
113.42MB |
| 2. Supervised, Unsupervised, and Reinforcement learning.vtt |
5.81KB |
| 2. System, user, and assistant roles.mp4 |
36.22MB |
| 2. System, user, and assistant roles.vtt |
4.31KB |
| 2. Text-for-the-data-variable.txt |
115B |
| 2. Text-for-the-data-variable.txt |
121B |
| 2. Text-for-the-emma-ja-variable.txt |
116B |
| 2. The AI Lifecycle From data collection to model application.mp4 |
88.26MB |
| 2. The AI Lifecycle From data collection to model application.vtt |
5.61KB |
| 2. The development of ChatGPT.mp4 |
53.57MB |
| 2. The development of ChatGPT.vtt |
2.58KB |
| 2. The OpenAI Playground.mp4 |
67.95MB |
| 2. The OpenAI Playground.vtt |
7.97KB |
| 2. The problem with RNNs.mp4 |
77.18MB |
| 2. The problem with RNNs.vtt |
4.32KB |
| 2. The transformer pipeline.mp4 |
44.49MB |
| 2. The transformer pipeline.vtt |
5.26KB |
| 2. Transparency.mp4 |
40.15MB |
| 2. Transparency.vtt |
3.34KB |
| 2. Transparency in AI decision-making processes.mp4 |
69.09MB |
| 2. Transparency in AI decision-making processes.vtt |
5.03KB |
| 2. vector_db_module_files.zip |
244.56KB |
| 2. What does the course cover.mp4 |
20.67MB |
| 2. What does the course cover.mp4 |
35.14MB |
| 2. What does the course cover.mp4 |
23.38MB |
| 2. What does the course cover.vtt |
4.15KB |
| 2. What does the course cover.vtt |
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| 2. What does the course cover.vtt |
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| 2. When to use topic modelling.mp4 |
31.27MB |
| 2. When to use topic modelling.vtt |
2.04KB |
| 2. Why Python.mp4 |
45.85MB |
| 2. Why Python.vtt |
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| 2. Working with APIs.mp4 |
32.53MB |
| 2. Working with APIs.vtt |
1.50KB |
| 20.14 Strings - Exercise #5.html |
4.45KB |
| 20.59 Notable Built-in Functions in Python - Exercise #8.html |
4.54KB |
| 20.75 List Slicing - Exercise #6.html |
4.62KB |
| 20.97 Iterating over Dictionaries - Exercise #1.html |
5.20KB |
| 20. Basic Python Syntax - Add Comments.mp4 |
4.67MB |
| 20. Basic Python Syntax - Add Comments.vtt |
1.66KB |
| 21.12 Basic Python Syntax - Add Comments.html |
16.20KB |
| 21.60 Notable Built-in Functions in Python - Exercise #9.html |
6.29KB |
| 21.76 List Slicing - Exercise #7.html |
4.27KB |
| 21.8 Types of Data - Strings.html |
17.35KB |
| 21.98 Iterating over Dictionaries - Exercise #2.html |
4.98KB |
| 22.19 Python Functions.html |
16.00KB |
| 22. Anaconda AI - Introduction.mp4 |
16.86MB |
| 22. Anaconda AI - Introduction.vtt |
2.81KB |
| 22. Basic Python Syntax - Line Continuation.mp4 |
2.11MB |
| 22. Basic Python Syntax - Line Continuation.vtt |
1.03KB |
| 22. Sequences - Tuples.mp4 |
13.50MB |
| 22. Sequences - Tuples.vtt |
2.98KB |
| 22. Using the Anaconda Assistant Dictionaries.mp4 |
19.28MB |
| 22. Using the Anaconda Assistant Dictionaries.vtt |
2.92KB |
| 23.28 Line Continuation - Exercise #1.html |
4.59KB |
| 23.77 Tuples - Exercise #1.html |
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| 23. Using the Anaconda Assistant Strings.mp4 |
25.88MB |
| 23. Using the Anaconda Assistant Strings.vtt |
4.68KB |
| 24.78 Tuples - Exercise #2.html |
4.51KB |
| 24. Basic Python Syntax - Indexing Elements.mp4 |
4.86MB |
| 24. Basic Python Syntax - Indexing Elements.vtt |
1.53KB |
| 25.29 Indexing Elements - Exercise #1.html |
4.48KB |
| 25.79 Tuples - Exercise #3.html |
4.53KB |
| 26.30 Indexing Elements - Exercise #2.html |
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| 26.80 Tuples - Exercise #4.html |
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| 27.13 Basic Python Syntax - Indexing Elements.html |
16.21KB |
| 27. Sequences_Exercises.ipynb |
10.01KB |
| 27. Sequences_Lectures.ipynb |
18.03KB |
| 27. Sequences_Solutions.ipynb |
19.22KB |
| 27. Sequences - Dictionaries.mp4 |
19.23MB |
| 27. Sequences - Dictionaries.vtt |
3.87KB |
| 28.81 Dictionaries - Exercise #1.html |
4.90KB |
| 28. Basic Python Syntax - Indentation.mp4 |
5.46MB |
| 28. Basic Python Syntax - Indentation.vtt |
1.96KB |
| 28. Introduction to Using Basic Python's Syntax_Solutions.ipynb |
10.41KB |
| 28. Introduction to Using Basic Python’s Syntax_Exercises.ipynb |
6.26KB |
| 28. Introduction to Using Basic Python’s Syntax_Lectures.ipynb |
10.71KB |
| 29.31 Indentation - Exercise #1.html |
4.58KB |
| 29.82 Dictionaries - Exercise #2.html |
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| 3. 03-03 First Graph.ipynb |
4.84KB |
| 3. 03 Setting Up the Env 03.ipynb |
4.96KB |
| 3. 04-03 The MessagesState Class.ipynb |
7.69KB |
| 3. 04 The OpenAI API 03.ipynb |
5.97KB |
| 3. 05-03 The StateSnapshot Class.ipynb |
8.97KB |
| 3. 05 Model IO 03.ipynb |
2.89KB |
| 3. 07 Output Parsers 03.ipynb |
3.60KB |
| 3. 08 LCEL 03.ipynb |
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| 3.16 Arithmetic Operators - Exercise #2.html |
4.82KB |
| 3.1 Python Variables - Exercise #1.html |
4.45KB |
| 3. 2.3-Stopwords.txt |
112B |
| 3. 3.3-Named-Entity-Recognition.txt |
106B |
| 3.33 Comparison Operators - Exercise #2.html |
4.82KB |
| 3. 4.3-Pre-trained-Transformer-Models.txt |
136B |
| 3.43 The IF Statement - Exercise #2.html |
5.71KB |
| 3.47 Creating a Function with a Parameter - Exercise #1.html |
4.49KB |
| 3. 5.3-TF-IDF.txt |
123B |
| 3.62 Lists - Exercise #2.html |
4.60KB |
| 3.88 For Loops - Exercise #2.html |
4.69KB |
| 3. Accountability.mp4 |
50.37MB |
| 3. Accountability.vtt |
3.71KB |
| 3. AI engineer.mp4 |
78.76MB |
| 3. AI engineer.vtt |
3.86KB |
| 3. app2.py |
3.31KB |
| 3. Building-a-Custom-Classifier.txt |
137B |
| 3. Building the Setup Page.mp4 |
51.91MB |
| 3. Building the Setup Page.vtt |
7.68KB |
| 3. Business applications of LangChain.mp4 |
64.32MB |
| 3. Business applications of LangChain.vtt |
6.14KB |
| 3. Common issues in foundation models Open-source data.mp4 |
46.64MB |
| 3. Common issues in foundation models Open-source data.vtt |
3.75KB |
| 3. Connecting to Pinecone using Python.mp4 |
14.18MB |
| 3. Connecting to Pinecone using Python.vtt |
3.97KB |
| 3. course_descriptions.csv |
127.14KB |
| 3. Course Approach.mp4 |
63.21MB |
| 3. Course Approach.vtt |
5.23KB |
| 3. Course prerequisites.mp4 |
24.07MB |
| 3. Course prerequisites.vtt |
2.67KB |
| 3. Creating a sarcastic chatbot.mp4 |
18.29MB |
| 3. Creating a sarcastic chatbot.vtt |
3.14KB |
| 3. Database comparison SQL, NoSQL, and Vector.mp4 |
59.66MB |
| 3. Database comparison SQL, NoSQL, and Vector.vtt |
6.08KB |
| 3. Datetime output parser.mp4 |
20.72MB |
| 3. Datetime output parser.vtt |
3.31KB |
| 3. Dealing with background noise.mp4 |
85.88MB |
| 3. Dealing with background noise.vtt |
9.84KB |
| 3. Deep learning.mp4 |
159.86MB |
| 3. Deep learning.vtt |
8.71KB |
| 3. Deep learning models CNNs, RNNs, and LSTMs.mp4 |
72.03MB |
| 3. Deep learning models CNNs, RNNs, and LSTMs.vtt |
7.75KB |
| 3. emotion-labels-test.csv |
316.76KB |
| 3. emotion-labels-train.csv |
363.85KB |
| 3. emotion-labels-val.csv |
35.59KB |
| 3. Ethical challenges in unsupervised training.mp4 |
43.99MB |
| 3. Ethical challenges in unsupervised training.vtt |
3.63KB |
| 3. Ethical use of AI outputs in business.mp4 |
47.00MB |
| 3. Ethical use of AI outputs in business.vtt |
3.49KB |
| 3. Exploring our data through POS tags.mp4 |
37.99MB |
| 3. Exploring our data through POS tags.vtt |
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| 3. First graph Defining a state and a node.mp4 |
23.28MB |
| 3. First graph Defining a state and a node.vtt |
4.39KB |
| 3. Fundamentals of sound and sound waves.mp4 |
50.80MB |
| 3. Fundamentals of sound and sound waves.vtt |
4.15KB |
| 3. Getting to know the data for the case study.mp4 |
32.20MB |
| 3. Getting to know the data for the case study.vtt |
2.65KB |
| 3. GPT-Models.txt |
112B |
| 3. Importing Modules.mp4 |
13.17MB |
| 3. Importing Modules.vtt |
4.18KB |
| 3. Installing packages for speech recognition.mp4 |
64.99MB |
| 3. Installing packages for speech recognition.vtt |
6.51KB |
| 3. Introduction to document loading and splitting.mp4 |
45.31MB |
| 3. Introduction to document loading and splitting.vtt |
4.42KB |
| 3. Introduction to NLP.mp4 |
32.62MB |
| 3. Introduction to NLP.vtt |
1.85KB |
| 3. Intro to AI - Course notes.pdf |
405.96KB |
| 3. Intro-to-AI-Flashcards.txt |
75B |
| 3. Jupyter - Introduction to Using Jupyter.mp4 |
22.29MB |
| 3. Jupyter - Introduction to Using Jupyter.vtt |
5.46KB |
| 3. Labelled and unlabelled data.mp4 |
44.52MB |
| 3. Labelled and unlabelled data.vtt |
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| 3. Latency.mp4 |
29.57MB |
| 3. Latency.vtt |
1.47KB |
| 3. Latent Dirichlet Allocation (LDA).mp4 |
44.65MB |
| 3. Latent Dirichlet Allocation (LDA).vtt |
2.75KB |
| 3. Libraries Used in the Notebook.pdf |
78.04KB |
| 3. Loading the model and tokenizer.mp4 |
7.29MB |
| 3. Loading the model and tokenizer.vtt |
1.29KB |
| 3. Model-Settings-Usecases.png |
258.36KB |
| 3. Naive Bayes.mp4 |
9.89MB |
| 3. Naive Bayes.vtt |
1.51KB |
| 3. Named Entity Recognition (NER).mp4 |
27.66MB |
| 3. Named Entity Recognition (NER).vtt |
4.75KB |
| 3. Natural vs Artificial Intelligence.mp4 |
43.79MB |
| 3. Natural vs Artificial Intelligence.vtt |
2.42KB |
| 3. Non-English NLP.mp4 |
38.47MB |
| 3. Non-English NLP.vtt |
2.19KB |
| 3. OpenAI API.mp4 |
18.04MB |
| 3. OpenAI API.vtt |
2.85KB |
| 3. OpenAI’s privacy policies and data handling.mp4 |
71.60MB |
| 3. OpenAI’s privacy policies and data handling.vtt |
5.25KB |
| 3. Optimizing Temperature and Top P for Different Use Cases.mp4 |
72.37MB |
| 3. Optimizing Temperature and Top P for Different Use Cases.vtt |
6.32KB |
| 3. Practical.txt |
110B |
| 3. Preprocessing our data.mp4 |
68.32MB |
| 3. Preprocessing our data.vtt |
7.27KB |
| 3. Pre-trained tokenizers.mp4 |
55.70MB |
| 3. Pre-trained tokenizers.vtt |
7.59KB |
| 3. Pre-trained transformer models.mp4 |
26.90MB |
| 3. Pre-trained transformer models.vtt |
5.07KB |
| 3. Prompt Structure of HR Interviews.mp4 |
64.12MB |
| 3. Prompt Structure of HR Interviews.vtt |
7.60KB |
| 3. Public data.mp4 |
25.22MB |
| 3. Public data.vtt |
1.81KB |
| 3. Question-and-answer-models-with-BERT.txt |
146B |
| 3. Recent NLP advancements.mp4 |
60.32MB |
| 3. Recent NLP advancements.vtt |
3.01KB |
| 3. Recordings.rar |
4.20MB |
| 3. Removing stop words.mp4 |
23.36MB |
| 3. Removing stop words.vtt |
4.07KB |
| 3. Responsible use of AI-generated outputs.mp4 |
43.85MB |
| 3. Responsible use of AI-generated outputs.vtt |
3.09KB |
| 3. Setting the API key as an environment variable.mp4 |
48.14MB |
| 3. Setting the API key as an environment variable.vtt |
7.75KB |
| 3. Setting Up Packages for Speech Recognition.pdf |
99.67KB |
| 3. Streaming.mp4 |
27.98MB |
| 3. Streaming.vtt |
5.04KB |
| 3. Streamlit Elements Titles, Headers, and Formatting.mp4 |
14.18MB |
| 3. Streamlit Elements Titles, Headers, and Formatting.vtt |
3.86KB |
| 3. System and human messages.mp4 |
35.36MB |
| 3. System and human messages.vtt |
5.02KB |
| 3. Text-classification-with-XLNET.txt |
136B |
| 3. Text-for-the-google-text-variable.txt |
108B |
| 3. TF-IDF.mp4 |
22.18MB |
| 3. TF-IDF.vtt |
3.88KB |
| 3. The future of speech recognition with AI.mp4 |
46.56MB |
| 3. The future of speech recognition with AI.vtt |
4.29KB |
| 3. The Interview Tool’s Specifics.mp4 |
65.60MB |
| 3. The Interview Tool’s Specifics.vtt |
6.09KB |
| 3. The MessagesState class.mp4 |
36.42MB |
| 3. The MessagesState class.vtt |
3.55KB |
| 3. The solution attention is all you need.mp4 |
57.70MB |
| 3. The solution attention is all you need.vtt |
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| 3. The SpeechRecognition library Google Web Speech API.mp4 |
60.62MB |
| 3. The SpeechRecognition library Google Web Speech API.vtt |
9.72KB |
| 3. The StateSnapshot class.mp4 |
34.56MB |
| 3. The StateSnapshot class.vtt |
3.25KB |
| 3. Time-domain feature extraction Framing and feature computation.mp4 |
53.45MB |
| 3. Time-domain feature extraction Framing and feature computation.vtt |
5.58KB |
| 3. Tokens.mp4 |
51.98MB |
| 3. Tokens.vtt |
5.63KB |
| 3. Traditional ML.mp4 |
26.80MB |
| 3. Traditional ML.vtt |
1.35KB |
| 3. Transcribing multiple audio files from a directory.mp4 |
36.67MB |
| 3. Transcribing multiple audio files from a directory.vtt |
6.21KB |
| 3. United States AI regulation across states.mp4 |
33.98MB |
| 3. United States AI regulation across states.vtt |
2.56KB |
| 3. Vector databases.mp4 |
61.63MB |
| 3. Vector databases.vtt |
3.19KB |
| 3. Vector embeddings walkthrough.mp4 |
32.07MB |
| 3. Vector embeddings walkthrough.vtt |
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| 3. What are LLMs.mp4 |
63.80MB |
| 3. What are LLMs.vtt |
3.52KB |
| 3. Why AI Ethics matter more than ever.mp4 |
103.95MB |
| 3. Why AI Ethics matter more than ever.vtt |
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| 30.14 Basic Python Syntax - Indentation.html |
16.16KB |
| 30.83 Dictionaries - Exercise #3.html |
4.45KB |
| 31.84 Dictionaries - Exercise #4.html |
4.47KB |
| 32.85 Dictionaries - Exercise #5.html |
4.73KB |
| 33.86 Dictionaries - Exercise #6.html |
4.73KB |
| 34.22 Sequences - Dictionaries.html |
16.40KB |
| 4. 03-04 First Graph.ipynb |
6.25KB |
| 4. 04-04 The RemoveMessages Class.ipynb |
10.43KB |
| 4. 04 The OpenAI API 04.ipynb |
14.21KB |
| 4. 05-04 Long-Term Memory with SQLite.ipynb |
8.64KB |
| 4. 05 Model IO 04.ipynb |
3.52KB |
| 4. 08 LCEL 04.ipynb |
2.78KB |
| 4.17 Arithmetic Operators - Exercise #3.html |
4.80KB |
| 4.17 Conditional Statements - The IF Statement.html |
16.31KB |
| 4. 2.4-Regular-Expressions.txt |
124B |
| 4.23 Iteration - For Loops.html |
16.21KB |
| 4.25 Important Python Concepts and Terms.html |
19.84KB |
| 4.2 Python Variables - Exercise #2.html |
4.33KB |
| 4. 3.5 Pinecone Homework solution.ipynb |
6.55KB |
| 4.34 Comparison Operators - Exercise #3.html |
4.71KB |
| 4.3 Quiz 3.html |
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| 4.48 Creating a Function with a Parameter - Exercise #2.html |
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| 4.63 Lists - Exercise #3.html |
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| 4. Advanced speech recognition systems Transformers.mp4 |
52.45MB |
| 4. Advanced speech recognition systems Transformers.vtt |
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| 4. AI messages.mp4 |
33.55MB |
| 4. AI messages.vtt |
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| 4. A note on the practical task.html |
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| 4. app3.py |
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| 4. Asia-Pacific region Strong government control.mp4 |
38.93MB |
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| 4. Assignment.html |
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| 4. BERT embeddings.mp4 |
29.67MB |
| 4. BERT embeddings.vtt |
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| 4. Brief history of AI.mp4 |
102.17MB |
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| 4. Building-a-Custom-Classifier.txt |
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| 4. Data loading and preprocessing.mp4 |
22.80MB |
| 4. Data loading and preprocessing.vtt |
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| 4. Enhancing Chatbot Interaction with Session State.mp4 |
48.96MB |
| 4. Enhancing Chatbot Interaction with Session State.vtt |
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| 4. Ethical considerations for supervised Fine-tuning.mp4 |
52.35MB |
| 4. Ethical considerations for supervised Fine-tuning.vtt |
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| 4. Ethics vs laws.mp4 |
60.69MB |
| 4. Ethics vs laws.vtt |
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| 4. Evaluation metrics WER and CER.mp4 |
33.78MB |
| 4. Evaluation metrics WER and CER.vtt |
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| 4. Extracting named entities.mp4 |
19.06MB |
| 4. Extracting named entities.vtt |
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| 4. Fairness.mp4 |
68.21MB |
| 4. Fairness.vtt |
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| 4. First graph Building the graph.mp4 |
29.10MB |
| 4. First graph Building the graph.vtt |
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| 4. Frequency-domain feature extraction Fourier transform.mp4 |
61.95MB |
| 4. Frequency-domain feature extraction Fourier transform.vtt |
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| 4. From Language Models to Large Language Models (LLMs).mp4 |
129.18MB |
| 4. From Language Models to Large Language Models (LLMs).vtt |
6.05KB |
| 4. Generating text.mp4 |
11.20MB |
| 4. Generating text.vtt |
2.43KB |
| 4. Generative AI.mp4 |
82.38MB |
| 4. Generative AI.vtt |
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| 4. How it all started Formants, harmonics, and phonemes.mp4 |
49.16MB |
| 4. How it all started Formants, harmonics, and phonemes.vtt |
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| 4. How large is an LLM.mp4 |
60.84MB |
| 4. How large is an LLM.vtt |
3.49KB |
| 4. Importing the relevant packages in Jupyter.mp4 |
14.99MB |
| 4. Importing the relevant packages in Jupyter.vtt |
3.36KB |
| 4. Inconsistency.mp4 |
50.98MB |
| 4. Inconsistency.vtt |
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| 4. Introduction to document embedding.mp4 |
59.71MB |
| 4. Introduction to document embedding.vtt |
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| 4. Jupyter - Working with Notebook Files.mp4 |
17.27MB |
| 4. Jupyter - Working with Notebook Files.vtt |
5.29KB |
| 4. Linear support vector machine.mp4 |
13.27MB |
| 4. Linear support vector machine.vtt |
2.87KB |
| 4. Long-term memory with SQLite.mp4 |
32.84MB |
| 4. Long-term memory with SQLite.vtt |
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| 4. Metadata Data that describes data.mp4 |
35.41MB |
| 4. Metadata Data that describes data.vtt |
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| 4. Misinformation and AI-generated content.mp4 |
67.67MB |
| 4. Misinformation and AI-generated content.vtt |
3.95KB |
| 4. NLP in everyday life.mp4 |
18.95MB |
| 4. NLP in everyday life.vtt |
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| 4. Pricing Hosting an LLM vs Pay-by-Token.mp4 |
41.85MB |
| 4. Pricing Hosting an LLM vs Pay-by-Token.vtt |
4.34KB |
| 4. Prompt Engineering for Software Development.mp4 |
60.40MB |
| 4. Prompt Engineering for Software Development.vtt |
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| 4. Prompt Structure of Technical Interviews.mp4 |
72.16MB |
| 4. Prompt Structure of Technical Interviews.vtt |
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| 4. Properties of sound waves.mp4 |
73.00MB |
| 4. Properties of sound waves.vtt |
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40.65MB |
| 4. Regular expressions.vtt |
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| 4. Responsible AI adoption and risk management for businesses.mp4 |
48.48MB |
| 4. Responsible AI adoption and risk management for businesses.vtt |
3.07KB |
| 4. Running out of data.mp4 |
50.11MB |
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| 4. Saving audio transcriptions to CSV for easy analysis.mp4 |
40.51MB |
| 4. Saving audio transcriptions to CSV for easy analysis.vtt |
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| 4. Special tokens.mp4 |
61.08MB |
| 4. Special tokens.vtt |
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| 4. Streamlit Elements Text Methods.mp4 |
23.76MB |
| 4. Streamlit Elements Text Methods.vtt |
3.78KB |
| 4. Temperature, max tokens, and streaming.mp4 |
66.88MB |
| 4. Temperature, max tokens, and streaming.vtt |
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| 4. Text-for-the-answer-document-variable.txt |
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| 4. Text-for-the-customer-reviews-variable.txt |
124B |
| 4. The importance of open source.mp4 |
124.73MB |
| 4. The importance of open source.vtt |
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| 4. The RemoveMessages class.mp4 |
23.05MB |
| 4. The RemoveMessages class.vtt |
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| 4. The Runnable and RunnableSequence classes.mp4 |
39.93MB |
| 4. The Runnable and RunnableSequence classes.vtt |
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| 4. The transformer architecture.mp4 |
21.81MB |
| 4. The transformer architecture.vtt |
1.23KB |
| 4. Understanding vector databases.mp4 |
50.40MB |
| 4. Understanding vector databases.vtt |
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| 4. Web-scraped data.mp4 |
35.54MB |
| 4. Web-scraped data.vtt |
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| 4. What's next for NLP.mp4 |
29.73MB |
| 4. What's next for NLP.vtt |
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| 4. What makes LangChain powerful.mp4 |
51.33MB |
| 4. What makes LangChain powerful.vtt |
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| 4. XLNet Embeddings.mp4 |
28.92MB |
| 4. XLNet Embeddings.vtt |
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| 5. 03-05 Conditional Edges.ipynb |
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| 5. 04-05 Trimming Messages.ipynb |
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| 5. 05 Model IO 05.ipynb |
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| 5. 08 LCEL 05.ipynb |
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| 5.18 Arithmetic Operators - Exercise #4.html |
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| 5. 2.5-Tokenizing-Text.txt |
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| 5.2 Quiz 2.html |
18.70KB |
| 5. 3.3 Introduction to Pinecone.ipynb |
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| 5. 3.4-Practical-task.txt |
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| 5.35 Comparison Operators - Exercise #4.html |
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| 5.3 Python Variables - Exercise #3.html |
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| 5. 4. 365 Courses Vector Store Data Preprocessing.ipynb |
247.67KB |
| 5. 4.4-Practical-Task.txt |
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| 5.4 Quiz 4.html |
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| 5. 6.4-LDA.txt |
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| 5.64 Lists - Exercise #4.html |
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| 5. Additional Protection From Errors.mp4 |
24.46MB |
| 5. Additional Protection From Errors.vtt |
3.03KB |
| 5. Africa's push for AI governance.mp4 |
45.04MB |
| 5. Africa's push for AI governance.vtt |
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| 5. bbc_news.csv |
333.43KB |
| 5. book_reviews_sample.csv |
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| 5. Building a speech recognition model part I.mp4 |
52.94MB |
| 5. Building a speech recognition model part I.vtt |
5.19KB |
| 5. Calculating the response.mp4 |
38.99MB |
| 5. Calculating the response.vtt |
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| 5. Calculating WER and CER in Python.mp4 |
50.77MB |
| 5. Calculating WER and CER in Python.vtt |
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| 5. ChatGPT plagiarism.mp4 |
77.43MB |
| 5. ChatGPT plagiarism.vtt |
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| 5. Conditional edges Defining nodes and a routing function.mp4 |
30.46MB |
| 5. Conditional edges Defining nodes and a routing function.vtt |
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| 5. Conditional Statements - The ELSE Statement.mp4 |
10.82MB |
| 5. Conditional Statements - The ELSE Statement.vtt |
2.87KB |
| 5. Creating and deleting a Pinecone index using Python.mp4 |
19.57MB |
| 5. Creating and deleting a Pinecone index using Python.vtt |
4.48KB |
| 5. Customizing GPT output.mp4 |
25.32MB |
| 5. Customizing GPT output.vtt |
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| 5. Dealing with sensitive and protected information.mp4 |
25.73MB |
| 5. Dealing with sensitive and protected information.vtt |
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| 5. Demystifying AI, Data science, Machine learning, and Deep learning.mp4 |
47.95MB |
| 5. Demystifying AI, Data science, Machine learning, and Deep learning.vtt |
2.49KB |
| 5. Development and Evolution.mp4 |
43.07MB |
| 5. Development and Evolution.vtt |
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| 5. Fine tuning XLNet.mp4 |
25.29MB |
| 5. Fine tuning XLNet.vtt |
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| 5. Functions - Another Way to Define a Function.mp4 |
11.14MB |
| 5. Functions - Another Way to Define a Function.vtt |
2.66KB |
| 5. General purpose models.mp4 |
24.23MB |
| 5. General purpose models.vtt |
1.33KB |
| 5. ground_truth.txt |
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| 5. Hallucination.mp4 |
50.69MB |
| 5. Hallucination.vtt |
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| 5. How to Test Out a Prompt Template.mp4 |
22.28MB |
| 5. How to Test Out a Prompt Template.vtt |
5.11KB |
| 5. Hugging Face.mp4 |
36.07MB |
| 5. Hugging Face.vtt |
1.79KB |
| 5. Hugging Face and PyTorchTensorFlow.mp4 |
24.88MB |
| 5. Hugging Face and PyTorchTensorFlow.vtt |
3.74KB |
| 5. Initial Prompt Development Part 1.mp4 |
48.24MB |
| 5. Initial Prompt Development Part 1.vtt |
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| 5. Input embeddings.mp4 |
61.14MB |
| 5. Input embeddings.vtt |
3.32KB |
| 5. Introduction to document storing, retrieval, and generation.mp4 |
43.79MB |
| 5. Introduction to document storing, retrieval, and generation.vtt |
4.31KB |
| 5. Iteration - While Loops and Incrementing.mp4 |
13.03MB |
| 5. Iteration - While Loops and Incrementing.vtt |
2.56KB |
| 5. Jupyter - Using Shortcuts.mp4 |
34.16MB |
| 5. Jupyter - Using Shortcuts.vtt |
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| 5. LDA in Python.mp4 |
33.98MB |
| 5. LDA in Python.vtt |
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| 5. news_articles.csv |
657.33KB |
| 5. Pinecone Python APIs and connecting to the Pinecone server.mp4 |
27.10MB |
| 5. Pinecone Python APIs and connecting to the Pinecone server.vtt |
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| 5. Piping chains and the RunnablePassthrough class.mp4 |
42.76MB |
| 5. Piping chains and the RunnablePassthrough class.vtt |
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| 5. Practical task.mp4 |
66.24MB |
| 5. Practical task.mp4 |
37.59MB |
| 5. Practical task.vtt |
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| 5. Processing the text.mp4 |
55.12MB |
| 5. Processing the text.vtt |
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| 5. Prompt templates and prompt values.mp4 |
26.81MB |
| 5. Prompt templates and prompt values.vtt |
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| 5. Refining Our Project.mp4 |
23.19MB |
| 5. Refining Our Project.vtt |
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| 5. Reversing the process AI-powered text-to-speech.mp4 |
26.21MB |
| 5. Reversing the process AI-powered text-to-speech.vtt |
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| 5. RLHF and ethical AI behavior.mp4 |
32.36MB |
| 5. RLHF and ethical AI behavior.vtt |
2.97KB |
| 5. Streamlit Elements Chat Elements.mp4 |
21.59MB |
| 5. Streamlit Elements Chat Elements.vtt |
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| 5. Supervised vs unsupervised NLP.mp4 |
26.26MB |
| 5. Supervised vs unsupervised NLP.vtt |
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| 5. The efficiency of LLM training. Supervised vs Semi-supervised learning.mp4 |
70.82MB |
| 5. The efficiency of LLM training. Supervised vs Semi-supervised learning.vtt |
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| 5. Tokenization.mp4 |
11.95MB |
| 5. Tokenization.vtt |
2.97KB |
| 5. Trimming messages.mp4 |
37.31MB |
| 5. Trimming messages.vtt |
3.42KB |
| 5. What does the course cover.mp4 |
60.31MB |
| 5. What does the course cover.vtt |
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| 5. What is Software Documentation.mp4 |
42.87MB |
| 5. What is Software Documentation.vtt |
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| 6. 03-06 Conditional Edges.ipynb |
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| 6. 04-06 Summarizing Messages.ipynb |
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| 6. 05 Model IO 06.ipynb |
4.28KB |
| 6. 08 LCEL 06.ipynb |
3.42KB |
| 6. 09 RAG 06.ipynb |
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| 6.15 Operators - Comparison Operators.html |
17.13KB |
| 6.19 Arithmetic Operators - Exercise #5.html |
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| 6. 2.6-Stemming.txt |
111B |
| 6. 3.4 Introduction to Pinecone.ipynb |
4.39KB |
| 6.44 The ELSE Statement - Exercise #1.html |
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| 6.49 Another Way to Define a Function - Exercise #1.html |
5.16KB |
| 6.4 Python Variables - Exercise #4.html |
4.83KB |
| 6.65 Lists - Exercise #5.html |
4.28KB |
| 6.89 While Loops and Incrementing - Exercise #1.html |
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| 6. Building a speech recognition model part II.mp4 |
57.87MB |
| 6. Building a speech recognition model part II.vtt |
5.07KB |
| 6. ChatGPT and the environment.mp4 |
64.21MB |
| 6. ChatGPT and the environment.vtt |
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| 6. Chat prompt templates and chat prompt values.mp4 |
42.13MB |
| 6. Chat prompt templates and chat prompt values.vtt |
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| 6. Conditional edges Building the graph.mp4 |
29.67MB |
| 6. Conditional edges Building the graph.vtt |
5.22KB |
| 6. Creating a QA bot.mp4 |
78.38MB |
| 6. Creating a QA bot.vtt |
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| 6. Data bias and fair representation.mp4 |
32.68MB |
| 6. Data bias and fair representation.vtt |
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| 6. Does sentiment differ between news types.mp4 |
20.37MB |
| 6. Does sentiment differ between news types.vtt |
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| 6. Embedding Algorithms.mp4 |
35.73MB |
| 6. Embedding Algorithms.vtt |
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| 6. Evaluating our model.mp4 |
20.51MB |
| 6. Evaluating our model.vtt |
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| 6. From N-Grams to RNNs to Transformers The Evolution of NLP.mp4 |
106.29MB |
| 6. From N-Grams to RNNs to Transformers The Evolution of NLP.vtt |
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| 6. Graphing Runnables.mp4 |
11.68MB |
| 6. Graphing Runnables.vtt |
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| 6. Hallucinations.mp4 |
73.76MB |
| 6. Hallucinations.vtt |
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| 6. Implementing Feedback Functionality Part 1.mp4 |
33.87MB |
| 6. Implementing Feedback Functionality Part 1.vtt |
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| 6. Inclusive and fair AI development practices.mp4 |
50.33MB |
| 6. Inclusive and fair AI development practices.vtt |
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| 6. Indexing Document loading with PyPDFLoader.mp4 |
59.74MB |
| 6. Indexing Document loading with PyPDFLoader.vtt |
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| 6. Initial Prompt Development Part 2.mp4 |
49.75MB |
| 6. Initial Prompt Development Part 2.vtt |
5.88KB |
| 6. Introduction_to_Data_and_Data_Science.pdf |
101.92KB |
| 6. Jupyter - Handling Error Messages.mp4 |
41.17MB |
| 6. Jupyter - Handling Error Messages.vtt |
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| 6. Key word text summarization.mp4 |
45.71MB |
| 6. Key word text summarization.vtt |
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| 6. LangChain.mp4 |
58.91MB |
| 6. LangChain.vtt |
3.15KB |
| 6. Latent Semantic Analysis (LSA).mp4 |
32.98MB |
| 6. Latent Semantic Analysis (LSA).vtt |
1.58KB |
| 6. Multi-headed attention.mp4 |
86.92MB |
| 6. Multi-headed attention.vtt |
4.29KB |
| 6. Ongoing monitoring and risk mitigation for deployed AI.mp4 |
32.93MB |
| 6. Ongoing monitoring and risk mitigation for deployed AI.vtt |
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| 6. Pre-training and fine tuning.mp4 |
51.47MB |
| 6. Pre-training and fine tuning.vtt |
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| 6. Saving and loading models.mp4 |
9.97MB |
| 6. Saving and loading models.vtt |
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| 6. Sessin State.mp4 |
35.43MB |
| 6. Sessin State.vtt |
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| 6. session_st_solution.py |
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| 6. Stemming.mp4 |
8.43MB |
| 6. Stemming.vtt |
2.89KB |
| 6. Summarizing messages.mp4 |
66.53MB |
| 6. Summarizing messages.vtt |
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| 6. Text-for-the-messages-and-prompt-variables.txt |
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| 6. Text-for-the-sunset-motors-context-variable.txt |
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| 6. The Python Documentation.mp4 |
50.41MB |
| 6. The Python Documentation.vtt |
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| 6. Upserting data to a pinecone vector database.mp4 |
26.84MB |
| 6. Upserting data to a pinecone vector database.vtt |
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| 6. Weak vs Strong AI.mp4 |
54.74MB |
| 6. Weak vs Strong AI.vtt |
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| 7. 05 Model IO 07.ipynb |
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| 7. 08 LCEL 07.ipynb |
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| 7. 09 RAG 07.ipynb |
2.16KB |
| 7.1 Quiz 1.html |
20.53KB |
| 7. 2.7-Lemmatization.txt |
116B |
| 7.20 Arithmetic Operators - Exercise #6.html |
4.94KB |
| 7.20 Sequences - Lists.html |
16.14KB |
| 7. 3. Pinecone Intro Full.ipynb |
7.23KB |
| 7. 4. 365 Courses Vector Store Creating Index.ipynb |
10.86KB |
| 7. 6.6-LSA.txt |
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| 7.6 Python Variables.html |
16.29KB |
| 7. AI evaluation tools.mp4 |
63.56MB |
| 7. AI evaluation tools.vtt |
3.07KB |
| 7. app.py |
7.45KB |
| 7. BERT, RoBERTa, DistilBERT.mp4 |
49.57MB |
| 7. BERT, RoBERTa, DistilBERT.vtt |
3.15KB |
| 7. Coding a simple chatbot.mp4 |
44.39MB |
| 7. Coding a simple chatbot.vtt |
3.78KB |
| 7. Conditional Statements - The ELIF Statement.mp4 |
25.06MB |
| 7. Conditional Statements - The ELIF Statement.vtt |
5.87KB |
| 7. Database Design and Schema Development.mp4 |
35.64MB |
| 7. Database Design and Schema Development.vtt |
3.95KB |
| 7. Embedding the data and upserting the files to Pinecone.mp4 |
20.37MB |
| 7. Embedding the data and upserting the files to Pinecone.vtt |
4.51KB |
| 7. Feed-forward layer.mp4 |
55.65MB |
| 7. Feed-forward layer.vtt |
2.90KB |
| 7. Few-shot chat message prompt templates.mp4 |
48.33MB |
| 7. Few-shot chat message prompt templates.vtt |
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| 7. Functions - Using a Function in Another Function.mp4 |
6.49MB |
| 7. Functions - Using a Function in Another Function.vtt |
1.82KB |
| 7. Getting to know the fine web data set and loading it to Jupyter.mp4 |
22.04MB |
| 7. Getting to know the fine web data set and loading it to Jupyter.vtt |
2.72KB |
| 7. Implementing Feedback Functionality Part 2.mp4 |
54.07MB |
| 7. Implementing Feedback Functionality Part 2.vtt |
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| 7. Indexing Document loading with Docx2txtLoader.mp4 |
17.71MB |
| 7. Indexing Document loading with Docx2txtLoader.vtt |
2.71KB |
| 7. Introduction_to_Data_and_Data_Science.docx |
17.92KB |
| 7. Iteration - Creatie Lists with the range() Function.mp4 |
14.68MB |
| 7. Iteration - Creatie Lists with the range() Function.vtt |
4.40KB |
| 7. Jupyter - Restarting the Kernel.mp4 |
8.31MB |
| 7. Jupyter - Restarting the Kernel.vtt |
2.56KB |
| 7. Lemmatization.mp4 |
13.21MB |
| 7. Lemmatization.vtt |
2.49KB |
| 7. LSA in Python.mp4 |
14.46MB |
| 7. LSA in Python.vtt |
1.34KB |
| 7. Operators - Logical and Identity Operators.mp4 |
24.08MB |
| 7. Operators - Logical and Identity Operators.vtt |
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| 7. Phases in building LLMs.mp4 |
94.94MB |
| 7. Phases in building LLMs.vtt |
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| 7. Prompt Injection.mp4 |
45.75MB |
| 7. Prompt Injection.vtt |
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| 7. RunnableParallel.mp4 |
36.34MB |
| 7. RunnableParallel.vtt |
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| 7. Selecting the appropriate speech recognition tool.mp4 |
73.18MB |
| 7. Selecting the appropriate speech recognition tool.vtt |
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| 7. Text-for-the-messages-variable.txt |
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| 7. What can LLMs be used for.mp4 |
71.21MB |
| 7. What can LLMs be used for.vtt |
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| 7. What topics appear in fake news (Part 1).mp4 |
25.03MB |
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| 8. 08 LCEL 08.ipynb |
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| 8. 2.8-N-grams.txt |
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| 8.21 Arithmetic Operators - Exercise #7.html |
4.83KB |
| 8.36 Logical and Identity Operators - Exercise #1.html |
4.42KB |
| 8. 3 Fineweb VectorDB.ipynb |
7.43KB |
| 8. 4. 365 Courses Vector Store Embedding.ipynb |
13.42KB |
| 8.45 The ELIF Statement - Exercise #1.html |
6.07KB |
| 8.50 Using a Function in Another Function - Exercise #1.html |
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| 8.5 Setting Up the Environment - Jupyter.html |
19.88KB |
| 8. 6.6-LSA.txt |
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| 8.90 Create Lists with the range() Function - Exercise #1.html |
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| 8. Counting Tokens.mp4 |
23.85MB |
| 8. Counting Tokens.vtt |
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| 8. Expanding beyond the tools we've covered.html |
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| 8. How many topics.mp4 |
24.38MB |
| 8. How many topics.vtt |
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| 8. Indexing Document splitting with character text splitter (Theory).mp4 |
24.26MB |
| 8. Indexing Document splitting with character text splitter (Theory).vtt |
3.09KB |
| 8. Introduction to LangChain in Python.mp4 |
18.11MB |
| 8. Introduction to LangChain in Python.vtt |
1.44KB |
| 8. Masked multihead attention.mp4 |
29.71MB |
| 8. Masked multihead attention.vtt |
1.64KB |
| 8. N-grams.mp4 |
21.01MB |
| 8. N-grams.vtt |
4.43KB |
| 8. Piping a RunnableParallel with other Runnables.mp4 |
44.70MB |
| 8. Piping a RunnableParallel with other Runnables.vtt |
6.21KB |
| 8. Prompt engineering vs Fine-tuning vs RAG Techniques for AI optimization.mp4 |
86.42MB |
| 8. Prompt engineering vs Fine-tuning vs RAG Techniques for AI optimization.vtt |
4.53KB |
| 8. Sequences - Using Methods.mp4 |
17.30MB |
| 8. Sequences - Using Methods.vtt |
3.63KB |
| 8. Similarity search and querying the data.mp4 |
33.29MB |
| 8. Similarity search and querying the data.vtt |
5.76KB |
| 8. Types of Data - Numbers and Boolean Values.mp4 |
13.70MB |
| 8. Types of Data - Numbers and Boolean Values.vtt |
3.17KB |
| 8. Uploading Your Project in GitHub.mp4 |
39.01MB |
| 8. Uploading Your Project in GitHub.vtt |
5.67KB |
| 8. Upserting data from a text file and using an embedding algorithm.mp4 |
41.41MB |
| 8. Upserting data from a text file and using an embedding algorithm.vtt |
7.08KB |
| 8. What Is an Activity Diagram.mp4 |
42.23MB |
| 8. What Is an Activity Diagram.vtt |
4.08KB |
| 8. What topics appear in fake news (Part 2).mp4 |
34.46MB |
| 8. What topics appear in fake news (Part 2).vtt |
5.44KB |
| 9. 08 LCEL 09.ipynb |
4.90KB |
| 9. 09 RAG 09.ipynb |
3.63KB |
| 9.22 Arithmetic Operators - Exercise #8.html |
4.84KB |
| 9.37 Logical and Identity Operators - Exercise #2.html |
4.45KB |
| 9.46 The ELIF Statement - Exercise #2.html |
6.60KB |
| 9.5 Numbers and Boolean Values - Exercise #1.html |
4.43KB |
| 9.66 Using Methods - Exercise #1.html |
4.67KB |
| 9.91 Create Lists with the range() Function - Exercise #2.html |
4.48KB |
| 9. A note on the practical task.html |
260B |
| 9. Categorizing fake news with a custom classifier.mp4 |
30.82MB |
| 9. Categorizing fake news with a custom classifier.vtt |
5.69KB |
| 9. Cost Reduction.mp4 |
85.35MB |
| 9. Cost Reduction.vtt |
11.58KB |
| 9. Creating an Activity Diagram.mp4 |
50.69MB |
| 9. Creating an Activity Diagram.vtt |
6.14KB |
| 9. Deploying Your Streamlit App.mp4 |
28.02MB |
| 9. Deploying Your Streamlit App.vtt |
4.46KB |
| 9. Functions - Combining Conditional Statements and Functions.mp4 |
13.06MB |
| 9. Functions - Combining Conditional Statements and Functions.vtt |
3.16KB |
| 9. How to update and change your vector database.mp4 |
41.39MB |
| 9. How to update and change your vector database.vtt |
4.61KB |
| 9. Indexing Document splitting with character text splitter (Code along).mp4 |
33.38MB |
| 9. Indexing Document splitting with character text splitter (Code along).vtt |
6.20KB |
| 9. LangChain.mp4 |
59.67MB |
| 9. LangChain.vtt |
3.24KB |
| 9. Predicting the final outputs.mp4 |
36.15MB |
| 9. Predicting the final outputs.vtt |
1.78KB |
| 9. RunnableLambda.mp4 |
22.25MB |
| 9. RunnableLambda.vtt |
6.38KB |
| 9. The importance of foundation models.mp4 |
57.59MB |
| 9. The importance of foundation models.vtt |
2.95KB |