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| 1. 04-01 The Annotated Construct and Reducer Functions.ipynb |
7.62Кб |
| 1. 04 The OpenAI API 01.ipynb |
6.04Кб |
| 1. 07 Output Parsers 01.ipynb |
3.14Кб |
| 1. 08 LCEL 01.ipynb |
4.23Кб |
| 1. 2025-04-23_14-07-55-119cf2027c66d1a49d5f78a1aa2cb862.png |
60.73Кб |
| 1. 2025-04-23_14-07-56-b347e333d754a83a5a3b81399e420d9c.png |
59.64Кб |
| 1. 9.1Whisper AI Transformer-based speech-to-text.mp4 |
70.87Мб |
| 1. 9.1Whisper AI Transformer-based speech-to-text.vtt |
8.81Кб |
| 1. Access to AI technology for businesses of all sizes.mp4 |
69.61Мб |
| 1. Access to AI technology for businesses of all sizes.vtt |
4.67Кб |
| 1. Acoustic and language modeling.mp4 |
45.94Мб |
| 1. Acoustic and language modeling.vtt |
4.37Кб |
| 1. Adding Funds to Your OpenAI API Account.html |
2.23Кб |
| 1. AI ethics.mp4 |
116.30Мб |
| 1. AI ethics.vtt |
5.81Кб |
| 1. AI strategist.mp4 |
105.35Мб |
| 1. AI strategist.vtt |
5.37Кб |
| 1. A note on the case study.html |
249б |
| 1. Audio file formats for speech recognition.mp4 |
73.04Мб |
| 1. Audio file formats for speech recognition.vtt |
8.02Кб |
| 1. Basic Python Syntax - Arithmetic Operators.mp4 |
15.44Мб |
| 1. Basic Python Syntax - Arithmetic Operators.vtt |
3.87Кб |
| 1. Building a custom text classifier.mp4 |
18.79Мб |
| 1. Building a custom text classifier.vtt |
1.03Кб |
| 1. Building an AI tool in 5 minutes A quick demo.mp4 |
44.96Мб |
| 1. Building an AI tool in 5 minutes A quick demo.vtt |
11.64Кб |
| 1. Checkpointers and threads.mp4 |
27.77Мб |
| 1. Checkpointers and threads.vtt |
3.81Кб |
| 1. Conditional Statements - The IF Statement.mp4 |
10.80Мб |
| 1. Conditional Statements - The IF Statement.vtt |
3.29Кб |
| 1. Deep learning recap.mp4 |
53.07Мб |
| 1. Deep learning recap.vtt |
2.84Кб |
| 1. Equity in access to AI technology.mp4 |
55.46Мб |
| 1. Equity in access to AI technology.vtt |
3.74Кб |
| 1. Ethical challenges in working with labeled data.mp4 |
61.06Мб |
| 1. Ethical challenges in working with labeled data.vtt |
4.27Кб |
| 1. Ethical sourcing and types of data.mp4 |
70.58Мб |
| 1. Ethical sourcing and types of data.vtt |
4.61Кб |
| 1. First Steps.mp4 |
28.12Мб |
| 1. First Steps.vtt |
4.22Кб |
| 1. Functions_Exercises.ipynb |
6.35Кб |
| 1. Functions_Lectures.ipynb |
12.48Кб |
| 1. Functions_Solutions.ipynb |
10.72Кб |
| 1. Functions - Defining a Function in Python.mp4 |
6.28Мб |
| 1. Functions - Defining a Function in Python.vtt |
2.39Кб |
| 1. Global AI and data regulations.mp4 |
26.41Мб |
| 1. Global AI and data regulations.vtt |
1.94Кб |
| 1. GPT vs BERT.mp4 |
65.29Мб |
| 1. GPT vs BERT.vtt |
3.19Кб |
| 1. GPT vs BERT vs XLNET.mp4 |
87.58Мб |
| 1. GPT vs BERT vs XLNET.vtt |
4.88Кб |
| 1. Hosting an LLM vs Using an API.mp4 |
43.82Мб |
| 1. Hosting an LLM vs Using an API.vtt |
4.71Кб |
| 1. How do humans recognize speech.mp4 |
41.07Мб |
| 1. How do humans recognize speech.vtt |
3.95Кб |
| 1. How to integrate custom data into an LLM.mp4 |
46.31Мб |
| 1. How to integrate custom data into an LLM.vtt |
4.37Кб |
| 1. Hugging Face package.mp4 |
57.92Мб |
| 1. Hugging Face package.vtt |
2.91Кб |
| 1. If-Elif-Else Statements_Exercises.ipynb |
3.39Кб |
| 1. If-Elif-Else Statements_Lectures.ipynb |
6.09Кб |
| 1. If-Elif-Else Statements_Solutions.ipynb |
5.08Кб |
| 1. Inconsistency and hallucination.mp4 |
56.75Мб |
| 1. Inconsistency and hallucination.vtt |
2.77Кб |
| 1. Initializing an OpenAI Client.mp4 |
22.36Мб |
| 1. Initializing an OpenAI Client.vtt |
4.34Кб |
| 1. Installing Anaconda.mp4 |
16.89Мб |
| 1. Installing Anaconda.vtt |
2.82Кб |
| 1. Intellectual property and user consent in AI interactions.mp4 |
50.82Мб |
| 1. Intellectual property and user consent in AI interactions.vtt |
3.80Кб |
| 1. Introduction.mp4 |
19.26Мб |
| 1. Introduction.vtt |
2.03Кб |
| 1. Introduction to Object Oriented Programming (OOP).mp4 |
28.17Мб |
| 1. Introduction to Object Oriented Programming (OOP).vtt |
5.66Кб |
| 1. Introduction to semantic search.mp4 |
31.36Мб |
| 1. Introduction to semantic search.vtt |
5.03Кб |
| 1. Introduction to the course.mp4 |
54.54Мб |
| 1. Introduction to the course.mp4 |
49.41Мб |
| 1. Introduction to the course.mp4 |
60.67Мб |
| 1. Introduction to the course.mp4 |
37.05Мб |
| 1. Introduction to the Course.mp4 |
44.85Мб |
| 1. Introduction to the course.vtt |
3.27Кб |
| 1. Introduction to the course.vtt |
3.08Кб |
| 1. Introduction to the course.vtt |
5.48Кб |
| 1. Introduction to the course.vtt |
3.79Кб |
| 1. Introduction to the Course.vtt |
4.04Кб |
| 1. Introduction to Using Basic Python's Syntax_Solutions.ipynb |
10.41Кб |
| 1. Introduction to Using Basic Python’s Syntax_Exercises.ipynb |
6.26Кб |
| 1. Introduction to Using Basic Python’s Syntax_Lectures.ipynb |
10.71Кб |
| 1. Introduction to vector space.mp4 |
52.68Мб |
| 1. Introduction to vector space.vtt |
5.92Кб |
| 1. Intro to AI - Course notes.pdf |
405.96Кб |
| 1. Intro-to-AI-Flashcards.txt |
75б |
| 1. Iteration_Exercises.ipynb |
7.16Кб |
| 1. Iteration_Lectures.ipynb |
6.77Кб |
| 1. Iteration_Solutions.ipynb |
11.25Кб |
| 1. Iteration - For Loops.mp4 |
11.55Мб |
| 1. Iteration - For Loops.vtt |
3.11Кб |
| 1. Jupyter - Introduction.mp4 |
32.33Мб |
| 1. Jupyter - Introduction.vtt |
4.23Кб |
| 1. Key concepts Sample Rate, bit depth, and bit rate.mp4 |
51.32Мб |
| 1. Key concepts Sample Rate, bit depth, and bit rate.vtt |
5.54Кб |
| 1. Machine learning.mp4 |
119.75Мб |
| 1. Machine learning.vtt |
7.02Кб |
| 1. Modern practices and applications.mp4 |
75.88Мб |
| 1. Modern practices and applications.vtt |
6.13Кб |
| 1. More on Working with Operators_Exercises.ipynb |
3.56Кб |
| 1. More on Working with Operators_Lectures.ipynb |
8.16Кб |
| 1. More on Working with Operators_Solutions.ipynb |
5.38Кб |
| 1. Numerical representation of text.mp4 |
33.26Мб |
| 1. Numerical representation of text.vtt |
1.91Кб |
| 1. Operators - Comparison Operators.mp4 |
8.22Мб |
| 1. Operators - Comparison Operators.vtt |
2.29Кб |
| 1. Piping a prompt, model, and an output parser.mp4 |
35.98Мб |
| 1. Piping a prompt, model, and an output parser.vtt |
7.14Кб |
| 1. Privacy.mp4 |
54.31Мб |
| 1. Privacy.vtt |
3.82Кб |
| 1. Programming Explained in a Few Minutes.mp4 |
44.27Мб |
| 1. Programming Explained in a Few Minutes.vtt |
6.74Кб |
| 1. Python programming.mp4 |
43.79Мб |
| 1. Python programming.vtt |
2.14Кб |
| 1. Python Variables.mp4 |
14.07Мб |
| 1. Python Variables.vtt |
4.27Кб |
| 1. Python Variables and Types of Data_Exercises.ipynb |
6.22Кб |
| 1. Python Variables and Types of Data_Lectures.ipynb |
13.36Кб |
| 1. Python Variables and Types of Data_Solutions.ipynb |
11.56Кб |
| 1. Robotics.mp4 |
93.33Мб |
| 1. Robotics.vtt |
5.07Кб |
| 1. Sequences_Exercises.ipynb |
10.01Кб |
| 1. Sequences_Lectures.ipynb |
18.03Кб |
| 1. Sequences_Solutions.ipynb |
19.22Кб |
| 1. Sequences - Lists.mp4 |
17.63Мб |
| 1. Sequences - Lists.vtt |
4.42Кб |
| 1. Setting up a custom anaconda environment for Jupyter integration.mp4 |
15.73Мб |
| 1. Setting up a custom anaconda environment for Jupyter integration.vtt |
3.91Кб |
| 1. Setting up environment.mp4 |
57.59Мб |
| 1. Setting up environment.vtt |
7.30Кб |
| 1. Setting up the environment.mp4 |
38.09Мб |
| 1. Setting up the environment.vtt |
4.30Кб |
| 1. Speech Recognition with Python.ipynb |
13.40Кб |
| 1. States, nodes, and edges.mp4 |
48.79Мб |
| 1. States, nodes, and edges.vtt |
6.18Кб |
| 1. String output parser.mp4 |
12.29Мб |
| 1. String output parser.vtt |
2.70Кб |
| 1. Structured vs unstructured data.mp4 |
37.71Мб |
| 1. Structured vs unstructured data.vtt |
1.86Кб |
| 1. Text tagging.mp4 |
23.00Мб |
| 1. Text tagging.vtt |
1.60Кб |
| 1. The Annotated construct and reducer functions.mp4 |
37.15Мб |
| 1. The Annotated construct and reducer functions.vtt |
4.99Кб |
| 1. The importance of data preparation.mp4 |
33.81Мб |
| 1. The importance of data preparation.vtt |
2.17Кб |
| 1. The LangChain framework.mp4 |
63.14Мб |
| 1. The LangChain framework.vtt |
6.64Кб |
| 1. The rise of Gen AI Introducing ChatGPT.mp4 |
44.34Мб |
| 1. The rise of Gen AI Introducing ChatGPT.vtt |
2.29Кб |
| 1. Time-domain audio features.mp4 |
75.07Мб |
| 1. Time-domain audio features.vtt |
8.06Кб |
| 1. Tokens.mp4 |
45.62Мб |
| 1. Tokens.vtt |
6.87Кб |
| 1. Understanding ChatGPT.mp4 |
70.98Мб |
| 1. Understanding ChatGPT.vtt |
4.57Кб |
| 1. Understanding noise in audio files.mp4 |
39.34Мб |
| 1. Understanding noise in audio files.vtt |
4.50Кб |
| 1. Vector databases, comparison.mp4 |
75.96Мб |
| 1. Vector databases, comparison.vtt |
8.64Кб |
| 1. Welcome to the course!.mp4 |
24.67Мб |
| 1. Welcome to the course!.vtt |
3.04Кб |
| 1. Welcome to the world of Speech Recognition.mp4 |
76.29Мб |
| 1. Welcome to the world of Speech Recognition.vtt |
6.08Кб |
| 1. What does GPT mean.mp4 |
30.91Мб |
| 1. What does GPT mean.vtt |
1.46Кб |
| 1. What does the course cover.mp4 |
86.68Мб |
| 1. What does the course cover.vtt |
5.38Кб |
| 1. What is deep learning.mp4 |
52.54Мб |
| 1. What is deep learning.vtt |
3.59Кб |
| 1. What is sentiment analysis.mp4 |
37.13Мб |
| 1. What is sentiment analysis.vtt |
2.46Кб |
| 1. What is topic modelling.mp4 |
56.91Мб |
| 1. What is topic modelling.vtt |
3.78Кб |
| 10. 08 LCEL 10.ipynb |
3.04Кб |
| 10. 09 RAG 10.ipynb |
3.17Кб |
| 10. 2.9-Practical.txt |
112б |
| 10.38 Logical and Identity Operators - Exercise #3.html |
4.40Кб |
| 10.51 Combining Conditional Statements and Functions - Exercise #1.html |
5.25Кб |
| 10.67 Using Methods - Exercise #2.html |
4.93Кб |
| 10.6 Numbers and Boolean Values - Exercise #2.html |
4.45Кб |
| 10.92 Create Lists with the range() Function - Exercise #3.html |
4.48Кб |
| 10.9 Basic Python Syntax - Arithmetic Operators.html |
16.25Кб |
| 10. Adding custom data to our chatbot.mp4 |
24.44Мб |
| 10. Adding custom data to our chatbot.vtt |
4.73Кб |
| 10. Buy vs Make foundation models vs private models.mp4 |
53.31Мб |
| 10. Buy vs Make foundation models vs private models.vtt |
2.56Кб |
| 10. Concluding the Planning Stage.mp4 |
20.02Мб |
| 10. Concluding the Planning Stage.vtt |
2.36Кб |
| 10. Conditional Statements - A Note on Boolean Values.mp4 |
8.89Мб |
| 10. Conditional Statements - A Note on Boolean Values.vtt |
2.66Кб |
| 10. course_section_descriptions.csv |
1.15Мб |
| 10. Data preprocessing and embedding for courses with section data.mp4 |
24.47Мб |
| 10. Data preprocessing and embedding for courses with section data.vtt |
5.45Кб |
| 10. If-Elif-Else Statements_Exercises.ipynb |
3.39Кб |
| 10. If-Elif-Else Statements_Lectures.ipynb |
6.09Кб |
| 10. If-Elif-Else Statements_Solutions.ipynb |
5.08Кб |
| 10. Indexing Document splitting with Markdown header text splitter.mp4 |
44.78Мб |
| 10. Indexing Document splitting with Markdown header text splitter.vtt |
6.90Кб |
| 10. Introduction_to_Data_and_Data_Science_2.docx |
18.19Кб |
| 10. Practical task.mp4 |
60.60Мб |
| 10. Practical task.vtt |
10.04Кб |
| 10. Scaling.mp4 |
32.28Мб |
| 10. Scaling.vtt |
3.70Кб |
| 10. The @chain decorator.mp4 |
20.38Мб |
| 10. The @chain decorator.vtt |
4.92Кб |
| 10. tripadvisor_hotel_reviews.csv |
65.92Кб |
| 11. 09 RAG 11.ipynb |
4.44Кб |
| 11.18 Conditional Statements - A Note on Boolean Values.html |
16.21Кб |
| 11.24 Iteration - Creatie Lists with the range() Function.html |
16.51Кб |
| 11.39 Logical and Identity Operators - Exercise #4.html |
4.69Кб |
| 11. 4.10 Pinecone Semantic Search Course Description weighted assignment.ipynb |
10.87Кб |
| 11.68 Using Methods - Exercise #3.html |
4.88Кб |
| 11.7 Numbers and Boolean Values - Exercise #3.html |
4.28Кб |
| 11. Assignment 2.html |
459б |
| 11. Basic Python Syntax - The Double Equality Sign.mp4 |
4.95Мб |
| 11. Basic Python Syntax - The Double Equality Sign.vtt |
1.60Кб |
| 11. Conclusion.mp4 |
14.99Мб |
| 11. Conclusion.vtt |
1.57Кб |
| 11. Functions - Creating Functions Containing a Few Arguments.mp4 |
6.02Мб |
| 11. Functions - Creating Functions Containing a Few Arguments.vtt |
1.23Кб |
| 11. Indexing Text embedding with OpenAI.mp4 |
42.42Мб |
| 11. Indexing Text embedding with OpenAI.vtt |
6.87Кб |
| 12. 09 RAG 12.ipynb |
3.87Кб |
| 12.23 The Double Equality Sign - Exercise #1.html |
4.72Кб |
| 12. 4. 365 Courses and Sections Semantic Search Embedding.ipynb |
13.34Кб |
| 12.40 Logical and Identity Operators - Exercise #5.html |
4.64Кб |
| 12.69 Using Methods - Exercise #4.html |
4.66Кб |
| 12.8 Numbers and Boolean Values - Exercise #4.html |
4.44Кб |
| 12. Functions_Exercises.ipynb |
6.35Кб |
| 12. Functions_Lectures.ipynb |
12.48Кб |
| 12. Functions_Solutions.ipynb |
10.72Кб |
| 12. Functions - Notable Built-in Functions in Python.mp4 |
17.85Мб |
| 12. Functions - Notable Built-in Functions in Python.vtt |
3.89Кб |
| 12. Indexing Creating a Chroma vectorstore.mp4 |
33.42Мб |
| 12. Indexing Creating a Chroma vectorstore.vtt |
6.58Кб |
| 12. Iteraion - Use Conditional Statements and Loops Together.mp4 |
12.61Мб |
| 12. Iteraion - Use Conditional Statements and Loops Together.vtt |
3.44Кб |
| 12. Upserting the new updated files to Pinecone.mp4 |
15.54Мб |
| 12. Upserting the new updated files to Pinecone.vtt |
2.76Кб |
| 13. 09 RAG 13.ipynb |
5.52Кб |
| 13.10 Basic Python Syntax - The Double Equality Sign.html |
16.28Кб |
| 13.21 Sequences - Using Methods.html |
16.38Кб |
| 13. 4. 365 Courses and Sections Semantic Search Upserting the data.ipynb |
13.34Кб |
| 13.41 Logical and Identity Operators - Exercise #6.html |
4.63Кб |
| 13.52 Notable Built-in Functions in Python - Exercise #1.html |
4.55Кб |
| 13.93 Conditional Statements and Loops - Exercise #1.html |
4.73Кб |
| 13.9 Numbers and Boolean Values - Exercise #5.html |
4.49Кб |
| 13. Indexing Inspecting and managing documents in a vectorstore.mp4 |
27.98Мб |
| 13. Indexing Inspecting and managing documents in a vectorstore.vtt |
4.71Кб |
| 13. Similarity search and querying courses and sections data.mp4 |
45.16Мб |
| 13. Similarity search and querying courses and sections data.vtt |
5.27Кб |
| 14. 09 RAG 14.ipynb |
4.31Кб |
| 14.16 Operators - Logical and Identity Operators.html |
17.21Кб |
| 14.53 Notable Built-in Functions in Python - Exercise #2.html |
4.62Кб |
| 14.7 Types of Data - Numbers and Boolean Values.html |
16.17Кб |
| 14.94 Conditional Statements and Loops - Exercise #2.html |
5.02Кб |
| 14. Assignment 3.html |
448б |
| 14. Basic Python Syntax - Reassign Values.mp4 |
3.34Мб |
| 14. Basic Python Syntax - Reassign Values.vtt |
1.21Кб |
| 14. Pinecone Semantic Search Course Section Weighted.ipynb |
11.12Кб |
| 14. Retrieval Similarity search.mp4 |
46.91Мб |
| 14. Retrieval Similarity search.vtt |
6.33Кб |
| 14. Sequences - List Slicing.mp4 |
23.96Мб |
| 14. Sequences - List Slicing.vtt |
4.98Кб |
| 15. 09 RAG 15.ipynb |
4.04Кб |
| 15.24 Reassign Values - Exercise #1.html |
4.16Кб |
| 15. 4. 365 Courses and Sections Semantic Search.ipynb |
13.34Кб |
| 15.54 Notable Built-in Functions in Python - Exercise #3.html |
4.42Кб |
| 15.70 List Slicing - Exercise #1.html |
4.58Кб |
| 15.95 Conditional Statements and Loops - Exercise #3.html |
4.77Кб |
| 15. Python Variables and Types of Data_Exercises.ipynb |
6.22Кб |
| 15. Python Variables and Types of Data_Lectures.ipynb |
13.36Кб |
| 15. Python Variables and Types of Data_Solutions.ipynb |
11.56Кб |
| 15. Retrieval Maximal Marginal Relevance (MMR) search.mp4 |
70.32Мб |
| 15. Retrieval Maximal Marginal Relevance (MMR) search.vtt |
7.65Кб |
| 15. Types of Data - Strings.mp4 |
24.11Мб |
| 15. Types of Data - Strings.vtt |
6.59Кб |
| 15. Using the BERT embedding algorithm.mp4 |
43.87Мб |
| 15. Using the BERT embedding algorithm.vtt |
4.92Кб |
| 16. 09 RAG 16.ipynb |
3.68Кб |
| 16.10 Strings - Exercise #1.html |
4.81Кб |
| 16.25 Reassign Values - Exercise #2.html |
4.85Кб |
| 16.55 Notable Built-in Functions in Python - Exercise #4.html |
4.41Кб |
| 16.71 List Slicing - Exercise #2.html |
4.56Кб |
| 16. Iteration - Conditional Statements, Functions, and Loops.mp4 |
8.15Мб |
| 16. Iteration - Conditional Statements, Functions, and Loops.vtt |
2.15Кб |
| 16. Retrieval Vectorstore-backed retriever.mp4 |
25.65Мб |
| 16. Retrieval Vectorstore-backed retriever.vtt |
3.87Кб |
| 16. Vector database for recommendation engines.mp4 |
45.05Мб |
| 16. Vector database for recommendation engines.vtt |
4.67Кб |
| 17. 09 RAG 17.ipynb |
6.54Кб |
| 17.11 Strings - Exercise #2.html |
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| 17.26 Reassign Values - Exercise #3.html |
4.16Кб |
| 17.56 Notable Built-in Functions in Python - Exercise #5.html |
4.60Кб |
| 17.72 List Slicing - Exercise #3.html |
4.62Кб |
| 17.96 Conditional Statements, Functions, and Loops - Exercise #1.html |
4.68Кб |
| 17. Generation Stuffing documents.mp4 |
28.55Мб |
| 17. Generation Stuffing documents.vtt |
4.74Кб |
| 17. Vector database for semantic image search.mp4 |
49.13Мб |
| 17. Vector database for semantic image search.vtt |
5.05Кб |
| 18. 09 RAG 18.ipynb |
5.35Кб |
| 18.12 Strings - Exercise #3.html |
4.51Кб |
| 18.27 Reassign Values - Exercise #4.html |
4.78Кб |
| 18.57 Notable Built-in Functions in Python - Exercise #6.html |
4.76Кб |
| 18.73 List Slicing - Exercise #4.html |
4.52Кб |
| 18. Generation Generating a response.mp4 |
41.05Мб |
| 18. Generation Generating a response.vtt |
4.03Кб |
| 18. Prompts for Python Coding.pdf |
3.26Мб |
| 18. Using the Anaconda Assistant Several Python Tools.mp4 |
48.98Мб |
| 18. Using the Anaconda Assistant Several Python Tools.vtt |
6.77Кб |
| 18. Vector database for biomedical research.mp4 |
33.60Мб |
| 18. Vector database for biomedical research.vtt |
5.06Кб |
| 19.11 Basic Python Syntax - Reassign Values.html |
16.46Кб |
| 19.13 Strings - Exercise #4.html |
4.38Кб |
| 19.58 Notable Built-in Functions in Python - Exercise #7.html |
4.54Кб |
| 19.74 List Slicing - Exercise #5.html |
4.61Кб |
| 19. Iteration_Exercises.ipynb |
7.16Кб |
| 19. Iteration_Lectures.ipynb |
6.77Кб |
| 19. Iteration_Solutions.ipynb |
11.25Кб |
| 19. Iteration - Iterating over Dictionaries.mp4 |
13.44Мб |
| 19. Iteration - Iterating over Dictionaries.vtt |
3.42Кб |
| 2. 03-02 First Graph.ipynb |
3.07Кб |
| 2. 04-02 Reducer Functions in Action.ipynb |
7.94Кб |
| 2. 05-02 Short-Term Memory with the InMemorySaver Class.ipynb |
7.88Кб |
| 2. 05 Model IO 02.ipynb |
2.75Кб |
| 2. 07 Output Parsers 02.ipynb |
3.67Кб |
| 2. 08 LCEL 02.ipynb |
3.45Кб |
| 2.15 Arithmetic Operators - Exercise #1.html |
4.85Кб |
| 2. 2.2-Lowercase.txt |
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| 7. Implementing Feedback Functionality Part 2.vtt |
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| 7. Indexing Document loading with Docx2txtLoader.mp4 |
17.71Мб |
| 7. Indexing Document loading with Docx2txtLoader.vtt |
2.71Кб |
| 7. Introduction_to_Data_and_Data_Science.docx |
17.92Кб |
| 7. Iteration - Creatie Lists with the range() Function.mp4 |
14.68Мб |
| 7. Iteration - Creatie Lists with the range() Function.vtt |
4.40Кб |
| 7. Jupyter - Restarting the Kernel.mp4 |
8.31Мб |
| 7. Jupyter - Restarting the Kernel.vtt |
2.56Кб |
| 7. Lemmatization.mp4 |
13.21Мб |
| 7. Lemmatization.vtt |
2.49Кб |
| 7. LSA in Python.mp4 |
14.46Мб |
| 7. LSA in Python.vtt |
1.34Кб |
| 7. Operators - Logical and Identity Operators.mp4 |
24.08Мб |
| 7. Operators - Logical and Identity Operators.vtt |
5.24Кб |
| 7. Phases in building LLMs.mp4 |
94.94Мб |
| 7. Phases in building LLMs.vtt |
4.89Кб |
| 7. Prompt Injection.mp4 |
45.75Мб |
| 7. Prompt Injection.vtt |
4.78Кб |
| 7. RunnableParallel.mp4 |
36.34Мб |
| 7. RunnableParallel.vtt |
7.14Кб |
| 7. Selecting the appropriate speech recognition tool.mp4 |
73.18Мб |
| 7. Selecting the appropriate speech recognition tool.vtt |
6.60Кб |
| 7. Text-for-the-messages-variable.txt |
123б |
| 7. What can LLMs be used for.mp4 |
71.21Мб |
| 7. What can LLMs be used for.vtt |
3.84Кб |
| 7. What topics appear in fake news (Part 1).mp4 |
25.03Мб |
| 7. What topics appear in fake news (Part 1).vtt |
5.54Кб |
| 8. 08 LCEL 08.ipynb |
5.40Кб |
| 8. 2.8-N-grams.txt |
110б |
| 8.21 Arithmetic Operators - Exercise #7.html |
4.83Кб |
| 8.36 Logical and Identity Operators - Exercise #1.html |
4.42Кб |
| 8. 3 Fineweb VectorDB.ipynb |
7.43Кб |
| 8. 4. 365 Courses Vector Store Embedding.ipynb |
13.42Кб |
| 8.45 The ELIF Statement - Exercise #1.html |
6.07Кб |
| 8.50 Using a Function in Another Function - Exercise #1.html |
5.39Кб |
| 8.5 Setting Up the Environment - Jupyter.html |
19.88Кб |
| 8. 6.6-LSA.txt |
106б |
| 8.90 Create Lists with the range() Function - Exercise #1.html |
4.45Кб |
| 8. Counting Tokens.mp4 |
23.85Мб |
| 8. Counting Tokens.vtt |
3.13Кб |
| 8. Expanding beyond the tools we've covered.html |
1.60Кб |
| 8. How many topics.mp4 |
24.38Мб |
| 8. How many topics.vtt |
4.67Кб |
| 8. Indexing Document splitting with character text splitter (Theory).mp4 |
24.26Мб |
| 8. Indexing Document splitting with character text splitter (Theory).vtt |
3.09Кб |
| 8. Introduction to LangChain in Python.mp4 |
18.11Мб |
| 8. Introduction to LangChain in Python.vtt |
1.44Кб |
| 8. Masked multihead attention.mp4 |
29.71Мб |
| 8. Masked multihead attention.vtt |
1.64Кб |
| 8. N-grams.mp4 |
21.01Мб |
| 8. N-grams.vtt |
4.43Кб |
| 8. Piping a RunnableParallel with other Runnables.mp4 |
44.70Мб |
| 8. Piping a RunnableParallel with other Runnables.vtt |
6.21Кб |
| 8. Prompt engineering vs Fine-tuning vs RAG Techniques for AI optimization.mp4 |
86.42Мб |
| 8. Prompt engineering vs Fine-tuning vs RAG Techniques for AI optimization.vtt |
4.53Кб |
| 8. Sequences - Using Methods.mp4 |
17.30Мб |
| 8. Sequences - Using Methods.vtt |
3.63Кб |
| 8. Similarity search and querying the data.mp4 |
33.29Мб |
| 8. Similarity search and querying the data.vtt |
5.76Кб |
| 8. Types of Data - Numbers and Boolean Values.mp4 |
13.70Мб |
| 8. Types of Data - Numbers and Boolean Values.vtt |
3.17Кб |
| 8. Uploading Your Project in GitHub.mp4 |
39.01Мб |
| 8. Uploading Your Project in GitHub.vtt |
5.67Кб |
| 8. Upserting data from a text file and using an embedding algorithm.mp4 |
41.41Мб |
| 8. Upserting data from a text file and using an embedding algorithm.vtt |
7.08Кб |
| 8. What Is an Activity Diagram.mp4 |
42.23Мб |
| 8. What Is an Activity Diagram.vtt |
4.08Кб |
| 8. What topics appear in fake news (Part 2).mp4 |
34.46Мб |
| 8. What topics appear in fake news (Part 2).vtt |
5.44Кб |
| 9. 08 LCEL 09.ipynb |
4.90Кб |
| 9. 09 RAG 09.ipynb |
3.63Кб |
| 9.22 Arithmetic Operators - Exercise #8.html |
4.84Кб |
| 9.37 Logical and Identity Operators - Exercise #2.html |
4.45Кб |
| 9.46 The ELIF Statement - Exercise #2.html |
6.60Кб |
| 9.5 Numbers and Boolean Values - Exercise #1.html |
4.43Кб |
| 9.66 Using Methods - Exercise #1.html |
4.67Кб |
| 9.91 Create Lists with the range() Function - Exercise #2.html |
4.48Кб |
| 9. A note on the practical task.html |
260б |
| 9. Categorizing fake news with a custom classifier.mp4 |
30.82Мб |
| 9. Categorizing fake news with a custom classifier.vtt |
5.69Кб |
| 9. Cost Reduction.mp4 |
85.35Мб |
| 9. Cost Reduction.vtt |
11.58Кб |
| 9. Creating an Activity Diagram.mp4 |
50.69Мб |
| 9. Creating an Activity Diagram.vtt |
6.14Кб |
| 9. Deploying Your Streamlit App.mp4 |
28.02Мб |
| 9. Deploying Your Streamlit App.vtt |
4.46Кб |
| 9. Functions - Combining Conditional Statements and Functions.mp4 |
13.06Мб |
| 9. Functions - Combining Conditional Statements and Functions.vtt |
3.16Кб |
| 9. How to update and change your vector database.mp4 |
41.39Мб |
| 9. How to update and change your vector database.vtt |
4.61Кб |
| 9. Indexing Document splitting with character text splitter (Code along).mp4 |
33.38Мб |
| 9. Indexing Document splitting with character text splitter (Code along).vtt |
6.20Кб |
| 9. LangChain.mp4 |
59.67Мб |
| 9. LangChain.vtt |
3.24Кб |
| 9. Predicting the final outputs.mp4 |
36.15Мб |
| 9. Predicting the final outputs.vtt |
1.78Кб |
| 9. RunnableLambda.mp4 |
22.25Мб |
| 9. RunnableLambda.vtt |
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| 9. The importance of foundation models.mp4 |
57.59Мб |
| 9. The importance of foundation models.vtt |
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