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Название Udemy - LLM Engineering Master AI, Large Language Models & Agents (12.2024)
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Размер 11.71Гб

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01. A-reminder-of-the-link-to-the-resources-for-the-course.url 88б
01. Day 1 - Cold Open Jumping Right into LLM Engineering.mp4 2.51Мб
01. Day 1 - Cold Open Jumping Right into LLM Engineering.vtt 996б
01. Day 1 - Fine-Tuning Large Language Models From Inference to Training.mp4 91.04Мб
01. Day 1 - Fine-Tuning Large Language Models From Inference to Training.vtt 12.90Кб
01. Day 1 - From Fine-Tuning to Multi-Agent Systems Next-Level LLM Engineering.mp4 41.88Мб
01. Day 1 - From Fine-Tuning to Multi-Agent Systems Next-Level LLM Engineering.vtt 3.98Кб
01. Day 1 - How to Choose the Right LLM Comparing Open and Closed Source Models.mp4 138.48Мб
01. Day 1 - How to Choose the Right LLM Comparing Open and Closed Source Models.vtt 15.54Кб
01. Day 1 - Hugging Face Tutorial Exploring Open-Source AI Models and Datasets.mp4 75.97Мб
01. Day 1 - Hugging Face Tutorial Exploring Open-Source AI Models and Datasets.vtt 12.15Кб
01. Day 1 - Mastering Multiple AI APIs OpenAI, Claude, and Gemini for LLM Engineers.mp4 32.07Мб
01. Day 1 - Mastering Multiple AI APIs OpenAI, Claude, and Gemini for LLM Engineers.vtt 6.24Кб
01. Day 1 - Mastering Parameter-Efficient Fine-Tuning LoRa, QLoRA & Hyperparameters.mp4 33.74Мб
01. Day 1 - Mastering Parameter-Efficient Fine-Tuning LoRa, QLoRA & Hyperparameters.vtt 4.94Кб
01. Day 1 - RAG Fundamentals Leveraging External Data to Improve LLM Responses.mp4 47.88Мб
01. Day 1 - RAG Fundamentals Leveraging External Data to Improve LLM Responses.vtt 6.48Кб
01. Linked-to-all-colabs-are-in-the-repo-README-and-also-in-the-course-resources-linked-here.url 88б
02. Day 1 - Building a DIY RAG System Implementing Retrieval-Augmented Generation.mp4 160.22Мб
02. Day 1 - Building a DIY RAG System Implementing Retrieval-Augmented Generation.vtt 15.41Кб
02. Day 1 Building a Multi-Agent AI Architecture for Automated Deal Finding Systems.mp4 54.23Мб
02. Day 1 Building a Multi-Agent AI Architecture for Automated Deal Finding Systems.vtt 10.80Кб
02. Day 1 - Chinchilla Scaling Law Optimizing LLM Parameters and Training Data Size.mp4 21.05Мб
02. Day 1 - Chinchilla Scaling Law Optimizing LLM Parameters and Training Data Size.vtt 6.94Кб
02. Day 1 - Exploring HuggingFace Hub Models, Datasets & Spaces for AI Developers.mp4 164.37Мб
02. Day 1 - Exploring HuggingFace Hub Models, Datasets & Spaces for AI Developers.vtt 15.24Кб
02. Day 1 - Finding and Crafting Datasets for LLM Fine-Tuning Sources & Techniques.mp4 18.86Мб
02. Day 1 - Finding and Crafting Datasets for LLM Fine-Tuning Sources & Techniques.vtt 7.41Кб
02. Day 1 - Introduction to LoRA Adaptors Low-Rank Adaptation Explained.mp4 17.07Мб
02. Day 1 - Introduction to LoRA Adaptors Low-Rank Adaptation Explained.vtt 8.88Кб
02. Day 1 - Setting Up Ollama for Local LLM Deployment on Windows and Mac.mp4 7.77Мб
02. Day 1 - Setting Up Ollama for Local LLM Deployment on Windows and Mac.vtt 5.40Кб
02. Day 1 - Streaming AI Responses Implementing Real-Time LLM Output in Python.mp4 79.76Мб
02. Day 1 - Streaming AI Responses Implementing Real-Time LLM Output in Python.vtt 21.98Кб
02. See-the-first-section-in-this-README-for-instructions-on-setting-up-Ollama.url 90б
03. Day 1 - Data Curation Techniques for Fine-Tuning LLMs on Product Descriptions.mp4 168.16Мб
03. Day 1 - Data Curation Techniques for Fine-Tuning LLMs on Product Descriptions.vtt 14.89Кб
03. Day 1 - How to Create Adversarial AI Conversations Using OpenAI and Claude APIs.mp4 91.12Мб
03. Day 1 - How to Create Adversarial AI Conversations Using OpenAI and Claude APIs.vtt 14.99Кб
03. Day 1 - Intro to Google Colab Cloud Jupyter Notebooks for Machine Learning.mp4 15.48Мб
03. Day 1 - Intro to Google Colab Cloud Jupyter Notebooks for Machine Learning.vtt 3.94Кб
03. Day 1 - Limitations of LLM Benchmarks Overfitting and Training Data Leakage.mp4 58.69Мб
03. Day 1 - Limitations of LLM Benchmarks Overfitting and Training Data Leakage.vtt 9.17Кб
03. Day 1 - QLoRA Quantization for Efficient Fine-Tuning of Large Language Models.mp4 23.89Мб
03. Day 1 - QLoRA Quantization for Efficient Fine-Tuning of Large Language Models.vtt 6.65Кб
03. Day 1 - Understanding Vector Embeddings The Key to RAG and LLM Retrieval.mp4 43.48Мб
03. Day 1 - Understanding Vector Embeddings The Key to RAG and LLM Retrieval.vtt 11.95Кб
03. Day 1 - Unleashing the Power of Local LLMs Build Spanish Tutor Using Ollama.mp4 9.78Мб
03. Day 1 - Unleashing the Power of Local LLMs Build Spanish Tutor Using Ollama.vtt 5.61Кб
03. Day 1 - Unveiling Modal Deploying Serverless Models to the Cloud.mp4 16.76Мб
03. Day 1 - Unveiling Modal Deploying Serverless Models to the Cloud.vtt 5.77Кб
04. Day 1 - AI Tools Exploring Transformers & Frontier LLMs for Developers.mp4 6.07Мб
04. Day 1 - AI Tools Exploring Transformers & Frontier LLMs for Developers.vtt 1.62Кб
04. Day 1 - Evaluating Large Language Models 6 Next-Level Benchmarks Unveiled.mp4 34.16Мб
04. Day 1 - Evaluating Large Language Models 6 Next-Level Benchmarks Unveiled.vtt 7.21Кб
04. Day 1 - Hugging Face Integration with Google Colab Secrets and API Keys Setup.mp4 49.36Мб
04. Day 1 - Hugging Face Integration with Google Colab Secrets and API Keys Setup.vtt 13.45Кб
04. Day 1 - LLAMA on the Cloud Running Large Models Efficiently.mp4 61.18Мб
04. Day 1 - LLAMA on the Cloud Running Large Models Efficiently.vtt 18.75Кб
04. Day 1 - LLM Engineering Roadmap From Beginner to Master in 8 Weeks.mp4 24.93Мб
04. Day 1 - LLM Engineering Roadmap From Beginner to Master in 8 Weeks.vtt 7.77Кб
04. Day 1 - Optimizing LLMs R, Alpha, and Target Modules in QLoRA Fine-Tuning.mp4 11.07Мб
04. Day 1 - Optimizing LLMs R, Alpha, and Target Modules in QLoRA Fine-Tuning.vtt 6.57Кб
04. Day 1 - Optimizing Training Data Scrubbing Techniques for LLM Fine-Tuning.mp4 116.63Мб
04. Day 1 - Optimizing Training Data Scrubbing Techniques for LLM Fine-Tuning.vtt 18.89Кб
04. Day 2 - Unveiling LangChain Simplify RAG Implementation for LLM Applications.mp4 24.63Мб
04. Day 2 - Unveiling LangChain Simplify RAG Implementation for LLM Applications.vtt 4.64Кб
04. This-webpage-contains-useful-links-and-resources-for-the-8-weeks-ahead-and-is-worth-bookmarking.url 88б
05. Day 1 - Building a Serverless AI Pricing API Step-by-Step Guide with Modal.mp4 147.52Мб
05. Day 1 - Building a Serverless AI Pricing API Step-by-Step Guide with Modal.vtt 23.98Кб
05. Day 1 - Building LLM Applications Chatbots, RAG, and Agentic AI Projects.mp4 27.41Мб
05. Day 1 - Building LLM Applications Chatbots, RAG, and Agentic AI Projects.vtt 2.66Кб
05. Day 1 - Evaluating LLM Performance Model-Centric vs Business-Centric Metrics.mp4 53.87Мб
05. Day 1 - Evaluating LLM Performance Model-Centric vs Business-Centric Metrics.vtt 10.83Кб
05. Day 1 - HuggingFace OpenLLM Leaderboard Comparing Open-Source Language Models.mp4 46.15Мб
05. Day 1 - HuggingFace OpenLLM Leaderboard Comparing Open-Source Language Models.vtt 11.15Кб
05. Day 1 - Mastering Google Colab Run Open-Source AI Models with Hugging Face.mp4 11.24Мб
05. Day 1 - Mastering Google Colab Run Open-Source AI Models with Hugging Face.vtt 2.24Кб
05. Day 1 - Parameter-Efficient Fine-Tuning PEFT for LLMs with Hugging Face.mp4 42.42Мб
05. Day 1 - Parameter-Efficient Fine-Tuning PEFT for LLMs with Hugging Face.vtt 10.87Кб
05. Day 2 - Building AI UIs with Gradio Quick Prototyping for LLM Engineers.mp4 22.87Мб
05. Day 2 - Building AI UIs with Gradio Quick Prototyping for LLM Engineers.vtt 3.68Кб
05. Day 2 - LangChain Text Splitter Tutorial Optimizing Chunks for RAG Systems.mp4 155.53Мб
05. Day 2 - LangChain Text Splitter Tutorial Optimizing Chunks for RAG Systems.vtt 13.46Кб
06. Day 1 - From Wall Street to AI Ed Donner's Path to Becoming an LLM Engineer.mp4 13.13Мб
06. Day 1 - From Wall Street to AI Ed Donner's Path to Becoming an LLM Engineer.vtt 2.94Кб
06. Day 1 - How to Quantize LLMs Reducing Model Size with 8-bit Precision.mp4 27.97Мб
06. Day 1 - How to Quantize LLMs Reducing Model Size with 8-bit Precision.vtt 4.43Кб
06. Day 1 - Master LLM Leaderboards Comparing Open Source and Closed Source Models.mp4 8.38Мб
06. Day 1 - Master LLM Leaderboards Comparing Open Source and Closed Source Models.vtt 2.11Кб
06. Day 1 - Multiple Production Models Ahead Preparing for Advanced RAG Solutions.mp4 15.88Мб
06. Day 1 - Multiple Production Models Ahead Preparing for Advanced RAG Solutions.vtt 3.78Кб
06. Day 2 - Gradio Tutorial Create Interactive AI Interfaces for OpenAI GPT Models.mp4 96.43Мб
06. Day 2 - Gradio Tutorial Create Interactive AI Interfaces for OpenAI GPT Models.vtt 14.98Кб
06. Day 2 - Hugging Face Transformers Using Pipelines for AI Tasks in Python.mp4 32.76Мб
06. Day 2 - Hugging Face Transformers Using Pipelines for AI Tasks in Python.vtt 4.87Кб
06. Day 2 - LLM Deployment Pipeline From Business Problem to Production Solution.mp4 100.59Мб
06. Day 2 - LLM Deployment Pipeline From Business Problem to Production Solution.vtt 9.97Кб
06. Day 2 - Preparing for Vector Databases OpenAI Embeddings and Chroma in RAG.mp4 5.38Мб
06. Day 2 - Preparing for Vector Databases OpenAI Embeddings and Chroma in RAG.vtt 1.66Кб
06. This-is-my-LinkedIn-I-always-welcome-connecting-on-LinkedIn-and-Im-always-up-for-questions-and-ideas.url 63б
07. Day 1 Double Quantization & NF4 Advanced Techniques for 4-Bit LLM Optimization.mp4 11.06Мб
07. Day 1 Double Quantization & NF4 Advanced Techniques for 4-Bit LLM Optimization.vtt 4.45Кб
07. Day 1 - Setting Up Your LLM Development Environment Tools and Best Practices.mp4 86.48Мб
07. Day 1 - Setting Up Your LLM Development Environment Tools and Best Practices.vtt 8.73Кб
07. Day 2 - Comparing LLMs Top 6 Leaderboards for Evaluating Language Models.mp4 43.30Мб
07. Day 2 - Comparing LLMs Top 6 Leaderboards for Evaluating Language Models.vtt 6.71Кб
07. Day 2 - Hugging Face Pipelines Simplifying AI Tasks with Transformers Library.mp4 169.68Мб
07. Day 2 - Hugging Face Pipelines Simplifying AI Tasks with Transformers Library.vtt 15.80Кб
07. Day 2 - Implementing Agentic Workflows Frontier Models and Vector Stores in RAG.mp4 66.70Мб
07. Day 2 - Implementing Agentic Workflows Frontier Models and Vector Stores in RAG.vtt 6.70Кб
07. Day 2 - Implementing Streaming Responses with GPT and Claude in Gradio UI.mp4 22.52Мб
07. Day 2 - Implementing Streaming Responses with GPT and Claude in Gradio UI.vtt 7.41Кб
07. Day 2 - Prompting, RAG, and Fine-Tuning When to Use Each Approach.mp4 69.09Мб
07. Day 2 - Prompting, RAG, and Fine-Tuning When to Use Each Approach.vtt 11.62Кб
07. Day 3 - Mastering Vector Embeddings OpenAI and Chroma for LLM Engineering.mp4 48.98Мб
07. Day 3 - Mastering Vector Embeddings OpenAI and Chroma for LLM Engineering.vtt 5.29Кб
07. The-repo-for-the-course-including-README.url 70б
08. Day 1 - Exploring PEFT Models The Role of LoRA Adapters in LLM Fine-Tuning.mp4 28.75Мб
08. Day 1 - Exploring PEFT Models The Role of LoRA Adapters in LLM Fine-Tuning.vtt 7.87Кб
08. Day 1 - Mac Setup Guide Jupyter Lab and Conda for LLM Projects.mp4 65.54Мб
08. Day 1 - Mac Setup Guide Jupyter Lab and Conda for LLM Projects.vtt 9.47Кб
08. Day 2 - Building a Massive Chroma Vector Datastore for Advanced RAG Pipelines.mp4 75.89Мб
08. Day 2 - Building a Massive Chroma Vector Datastore for Advanced RAG Pipelines.vtt 11.78Кб
08. Day 2 - Building a Multi-Model AI Chat Interface with Gradio GPT vs Claude.mp4 39.90Мб
08. Day 2 - Building a Multi-Model AI Chat Interface with Gradio GPT vs Claude.vtt 11.24Кб
08. Day 2 - Mastering HuggingFace Pipelines Efficient AI Inference for ML Tasks.mp4 7.78Мб
08. Day 2 - Mastering HuggingFace Pipelines Efficient AI Inference for ML Tasks.vtt 2.17Кб
08. Day 2 - Productionizing LLMs Best Practices for Deploying AI Models at Scale.mp4 5.43Мб
08. Day 2 - Productionizing LLMs Best Practices for Deploying AI Models at Scale.vtt 2.16Кб
08. Day 2 - Specialized LLM Leaderboards Finding the Best Model for Your Use Case.mp4 75.36Мб
08. Day 2 - Specialized LLM Leaderboards Finding the Best Model for Your Use Case.vtt 9.08Кб
08. Day 3 - Visualizing Embeddings Exploring Multi-Dimensional Space with t-SNE.mp4 255.85Мб
08. Day 3 - Visualizing Embeddings Exploring Multi-Dimensional Space with t-SNE.vtt 21.72Кб
08. The-repo-for-the-course-including-README.url 70б
09. Day 1 - Model Size Summary Comparing Quantized and Fine-Tuned Models.mp4 7.99Мб
09. Day 1 - Model Size Summary Comparing Quantized and Fine-Tuned Models.vtt 2.17Кб
09. Day 1 - Setting Up Anaconda for LLM Engineering Windows Installation Guide.mp4 135.46Мб
09. Day 1 - Setting Up Anaconda for LLM Engineering Windows Installation Guide.vtt 15.82Кб
09. Day 2 - Building Advanced AI UIs From OpenAI API to Chat Interfaces with Gradio.mp4 6.41Мб
09. Day 2 - Building Advanced AI UIs From OpenAI API to Chat Interfaces with Gradio.vtt 1.69Кб
09. Day 2 - LLAMA vs GPT-4 Benchmarking Large Language Models for Code Generation.mp4 44.17Мб
09. Day 2 - LLAMA vs GPT-4 Benchmarking Large Language Models for Code Generation.vtt 14.48Кб
09. Day 2 - Optimizing Large Datasets for Model Training Data Curation Strategies.mp4 82.84Мб
09. Day 2 - Optimizing Large Datasets for Model Training Data Curation Strategies.vtt 11.68Кб
09. Day 2 - Visualizing Vector Spaces Advanced RAG Techniques for Data Exploration.mp4 41.38Мб
09. Day 2 - Visualizing Vector Spaces Advanced RAG Techniques for Data Exploration.vtt 5.68Кб
09. Day 3 - Building RAG Pipelines From Vectors to Embeddings with LangChain.mp4 18.89Мб
09. Day 3 - Building RAG Pipelines From Vectors to Embeddings with LangChain.vtt 3.63Кб
09. Day 3 - Exploring Tokenizers in Open-Source AI Llama, Phi-2, Qwen, & Starcoder.mp4 42.55Мб
09. Day 3 - Exploring Tokenizers in Open-Source AI Llama, Phi-2, Qwen, & Starcoder.vtt 6.54Кб
09. The-repo-for-the-course-including-README.url 70б
10. Day 1 - Alternative Python Setup for LLM Projects Virtualenv vs. Anaconda Guide.mp4 88.59Мб
10. Day 1 - Alternative Python Setup for LLM Projects Virtualenv vs. Anaconda Guide.vtt 8.49Кб
10. Day 2 - 3D Visualization Techniques for RAG Exploring Vector Embeddings.mp4 39.63Мб
10. Day 2 - 3D Visualization Techniques for RAG Exploring Vector Embeddings.vtt 2.69Кб
10. Day 2 - How to Choose the Best Base Model for Fine-Tuning Large Language Models.mp4 60.74Мб
10. Day 2 - How to Choose the Best Base Model for Fine-Tuning Large Language Models.vtt 8.14Кб
10. Day 2 - How to Create a Balanced Dataset for LLM Training Curation Techniques.mp4 52.16Мб
10. Day 2 - How to Create a Balanced Dataset for LLM Training Curation Techniques.vtt 14.28Кб
10. Day 2 - Human-Rated Language Models Understanding the LM Sys Chatbot Arena.mp4 28.70Мб
10. Day 2 - Human-Rated Language Models Understanding the LM Sys Chatbot Arena.vtt 8.61Кб
10. Day 3 - Building AI Chatbots Mastering Gradio for Customer Support Assistants.mp4 37.63Мб
10. Day 3 - Building AI Chatbots Mastering Gradio for Customer Support Assistants.vtt 5.82Кб
10. Day 3 - Tokenization Techniques in AI Using AutoTokenizer with LLAMA 3.1 Model.mp4 92.13Мб
10. Day 3 - Tokenization Techniques in AI Using AutoTokenizer with LLAMA 3.1 Model.vtt 13.86Кб
10. Day 4 - Implementing RAG Pipeline LLM, Retriever, and Memory in LangChain.mp4 41.00Мб
10. Day 4 - Implementing RAG Pipeline LLM, Retriever, and Memory in LangChain.vtt 5.94Кб
10. The-repo-for-the-course-including-README.url 70б
11. Day 1- Setting Up OpenAI API for LLM Development Keys, Pricing & Best Practices.mp4 89.86Мб
11. Day 1- Setting Up OpenAI API for LLM Development Keys, Pricing & Best Practices.vtt 9.06Кб
11. Day 2 - Commercial Applications of Large Language Models From Law to Education.mp4 49.57Мб
11. Day 2 - Commercial Applications of Large Language Models From Law to Education.vtt 6.40Кб
11. Day 2 - Finalizing Dataset Curation Analyzing Price-Description Correlations.mp4 95.31Мб
11. Day 2 - Finalizing Dataset Curation Analyzing Price-Description Correlations.vtt 14.17Кб
11. Day 2 - Finding Similar Products Building a RAG Pipeline without LangChain.mp4 88.47Мб
11. Day 2 - Finding Similar Products Building a RAG Pipeline without LangChain.vtt 9.60Кб
11. Day 2 - Selecting the Best Base Model Analyzing HuggingFace's LLM Leaderboard.mp4 33.64Мб
11. Day 2 - Selecting the Best Base Model Analyzing HuggingFace's LLM Leaderboard.vtt 7.85Кб
11. Day 3 - Build a Conversational AI Chatbot with OpenAI & Gradio Step-by-Step.mp4 61.82Мб
11. Day 3 - Build a Conversational AI Chatbot with OpenAI & Gradio Step-by-Step.vtt 15.81Кб
11. Day 3 - Comparing Tokenizers Llama, PHI-3, and QWEN2 for Open-Source AI Models.mp4 91.82Мб
11. Day 3 - Comparing Tokenizers Llama, PHI-3, and QWEN2 for Open-Source AI Models.vtt 12.98Кб
11. Day 4 - Mastering Retrieval-Augmented Generation Hands-On LLM Integration.mp4 77.43Мб
11. Day 4 - Mastering Retrieval-Augmented Generation Hands-On LLM Integration.vtt 13.36Кб
12. Day 1 - Creating a .env File for Storing API Keys Safely.mp4 11.66Мб
12. Day 1 - Creating a .env File for Storing API Keys Safely.vtt 6.73Кб
12. Day 2 - Comparing Frontier and Open-Source LLMs for Code Conversion Projects.mp4 31.82Мб
12. Day 2 - Comparing Frontier and Open-Source LLMs for Code Conversion Projects.vtt 3.73Кб
12. Day 2 - Exploring Tokenizers Comparing LLAMA, QWEN, and Other LLM Models.mp4 25.31Мб
12. Day 2 - Exploring Tokenizers Comparing LLAMA, QWEN, and Other LLM Models.vtt 5.75Кб
12. Day 2 - How to Create and Upload a High-Quality Dataset on HuggingFace.mp4 7.80Мб
12. Day 2 - How to Create and Upload a High-Quality Dataset on HuggingFace.vtt 1.97Кб
12. Day 2 - RAG Pipeline Implementation Enhancing LLMs with Retrieval Techniques.mp4 77.76Мб
12. Day 2 - RAG Pipeline Implementation Enhancing LLMs with Retrieval Techniques.vtt 8.78Кб
12. Day 3 - Enhancing Chatbots with Multi-Shot Prompting and Context Enrichment.mp4 40.56Мб
12. Day 3 - Enhancing Chatbots with Multi-Shot Prompting and Context Enrichment.vtt 12.48Кб
12. Day 3 - Hugging Face Tokenizers Preparing for Advanced AI Text Generation.mp4 3.93Мб
12. Day 3 - Hugging Face Tokenizers Preparing for Advanced AI Text Generation.vtt 1.05Кб
12. Day 4 - Master RAG Pipeline Building Efficient RAG Systems.mp4 17.59Мб
12. Day 4 - Master RAG Pipeline Building Efficient RAG Systems.vtt 2.48Кб
13. Day 1- Instant Gratification Project Creating an AI-Powered Web Page Summarizer.mp4 72.91Мб
13. Day 1- Instant Gratification Project Creating an AI-Powered Web Page Summarizer.vtt 13.20Кб
13. Day 2 - Optimizing LLM Performance Loading and Tokenizing Llama 3.1 Base Model.mp4 69.83Мб
13. Day 2 - Optimizing LLM Performance Loading and Tokenizing Llama 3.1 Base Model.vtt 11.67Кб
13. Day 2 - Random Forest Regression Using Transformers & ML for Price Prediction.mp4 76.71Мб
13. Day 2 - Random Forest Regression Using Transformers & ML for Price Prediction.vtt 9.00Кб
13. Day 3 - Feature Engineering and Bag of Words Building ML Baselines for NLP.mp4 64.51Мб
13. Day 3 - Feature Engineering and Bag of Words Building ML Baselines for NLP.vtt 9.07Кб
13. Day 3 - Leveraging Frontier Models for High-Performance Code Generation in C++.mp4 28.98Мб
13. Day 3 - Leveraging Frontier Models for High-Performance Code Generation in C++.vtt 3.29Кб
13. Day 3 - Mastering AI Tools Empowering LLMs to Run Code on Your Machine.mp4 12.18Мб
13. Day 3 - Mastering AI Tools Empowering LLMs to Run Code on Your Machine.vtt 3.10Кб
13. Day 4 - Hugging Face Model Class Running Inference on Open-Source AI Models.mp4 29.58Мб
13. Day 4 - Hugging Face Model Class Running Inference on Open-Source AI Models.vtt 4.28Кб
13. Day 5 - Optimizing RAG Systems Troubleshooting and Fixing Common Problems.mp4 10.37Мб
13. Day 5 - Optimizing RAG Systems Troubleshooting and Fixing Common Problems.vtt 1.42Кб
14. Day 1 - Implementing Text Summarization Using OpenAI's GPT-4 and Beautiful Soup.mp4 139.87Мб
14. Day 1 - Implementing Text Summarization Using OpenAI's GPT-4 and Beautiful Soup.vtt 17.26Кб
14. Day 2 - Building an Ensemble Model Combining LLM, RAG, and Random Forest.mp4 99.33Мб
14. Day 2 - Building an Ensemble Model Combining LLM, RAG, and Random Forest.vtt 11.85Кб
14. Day 2 - Quantization Impact on LLMs Analyzing Performance Metrics and Errors.mp4 43.72Мб
14. Day 2 - Quantization Impact on LLMs Analyzing Performance Metrics and Errors.vtt 6.93Кб
14. Day 3 - Baseline Models in ML Implementing Simple Prediction Functions.mp4 235.84Мб
14. Day 3 - Baseline Models in ML Implementing Simple Prediction Functions.vtt 22.13Кб
14. Day 3 - Comparing Top LLMs for Code Generation GPT-4 vs Claude 3.5 Sonnet.mp4 39.92Мб
14. Day 3 - Comparing Top LLMs for Code Generation GPT-4 vs Claude 3.5 Sonnet.vtt 10.71Кб
14. Day 4 - Hugging Face Transformers Loading & Quantizing LLMs with Bits & Bytes.mp4 72.71Мб
14. Day 4 - Hugging Face Transformers Loading & Quantizing LLMs with Bits & Bytes.vtt 17.42Кб
14. Day 4 - Using AI Tools with LLMs Enhancing Large Language Model Capabilities.mp4 93.48Мб
14. Day 4 - Using AI Tools with LLMs Enhancing Large Language Model Capabilities.vtt 9.20Кб
14. Day 5 - Switching Vector Stores FAISS vs Chroma in LangChain RAG Pipelines.mp4 63.31Мб
14. Day 5 - Switching Vector Stores FAISS vs Chroma in LangChain RAG Pipelines.vtt 11.26Кб
15. Day 1 - Wrapping Up Day 1 Key Takeaways and Next Steps in LLM Engineering.mp4 13.22Мб
15. Day 1 - Wrapping Up Day 1 Key Takeaways and Next Steps in LLM Engineering.vtt 3.56Кб
15. Day 2 - Comparing LLMs GPT-4 vs LLAMA 3.1 in Parameter-Efficient Tuning.mp4 21.99Мб
15. Day 2 - Comparing LLMs GPT-4 vs LLAMA 3.1 in Parameter-Efficient Tuning.vtt 4.18Кб
15. Day 2 - Wrap-Up Finalizing Multi-Agent Systems and RAG Integration.mp4 17.62Мб
15. Day 2 - Wrap-Up Finalizing Multi-Agent Systems and RAG Integration.vtt 2.13Кб
15. Day 3 Feature Engineering Techniques for Amazon Product Price Prediction Models.mp4 89.46Мб
15. Day 3 Feature Engineering Techniques for Amazon Product Price Prediction Models.vtt 11.30Кб
15. Day 3 - Optimizing Python Code with Large Language Models GPT-4 vs Claude 3.5.mp4 31.62Мб
15. Day 3 - Optimizing Python Code with Large Language Models GPT-4 vs Claude 3.5.vtt 9.79Кб
15. Day 4 - Building an AI Airline Assistant Implementing Tools with OpenAI GPT-4.mp4 24.09Мб
15. Day 4 - Building an AI Airline Assistant Implementing Tools with OpenAI GPT-4.vtt 8.15Кб
15. Day 4 - Hugging Face Transformers Generating Jokes with Open-Source AI Models.mp4 53.44Мб
15. Day 4 - Hugging Face Transformers Generating Jokes with Open-Source AI Models.vtt 12.55Кб
15. Day 5 - Demystifying LangChain Behind-the-Scenes of RAG Pipeline Construction.mp4 9.26Мб
15. Day 5 - Demystifying LangChain Behind-the-Scenes of RAG Pipeline Construction.vtt 4.08Кб
16. Day 2 - Mastering LLM Engineering Key Skills and Tools for AI Development.mp4 99.70Мб
16. Day 2 - Mastering LLM Engineering Key Skills and Tools for AI Development.vtt 9.43Кб
16. Day 3 - Code Generation Pitfalls When Large Language Models Produce Errors.mp4 23.49Мб
16. Day 3 - Code Generation Pitfalls When Large Language Models Produce Errors.vtt 6.39Кб
16. Day 3 - Enhancing AI Agents with Structured Outputs Pydantic & BaseModel Guide.mp4 52.70Мб
16. Day 3 - Enhancing AI Agents with Structured Outputs Pydantic & BaseModel Guide.vtt 5.17Кб
16. Day 3 - Optimizing LLM Performance Advanced Feature Engineering Strategies.mp4 52.09Мб
16. Day 3 - Optimizing LLM Performance Advanced Feature Engineering Strategies.vtt 9.49Кб
16. Day 3 - QLoRA Hyperparameters Mastering Fine-Tuning for Large Language Models.mp4 21.57Мб
16. Day 3 - QLoRA Hyperparameters Mastering Fine-Tuning for Large Language Models.vtt 11.24Кб
16. Day 4 - How to Equip LLMs with Custom Tools OpenAI Function Calling Tutorial.mp4 51.68Мб
16. Day 4 - How to Equip LLMs with Custom Tools OpenAI Function Calling Tutorial.vtt 13.90Кб
16. Day 4 - Mastering Hugging Face Transformers Models, Pipelines, and Tokenizers.mp4 6.70Мб
16. Day 4 - Mastering Hugging Face Transformers Models, Pipelines, and Tokenizers.vtt 1.73Кб
16. Day 5 - Debugging RAG Optimizing Context Retrieval in LangChain.mp4 86.44Мб
16. Day 5 - Debugging RAG Optimizing Context Retrieval in LangChain.vtt 13.21Кб
17. Day 2 - Understanding Frontier Models GPT, Claude, and Open Source LLMs.mp4 19.19Мб
17. Day 2 - Understanding Frontier Models GPT, Claude, and Open Source LLMs.vtt 9.74Кб
17. Day 3 - Blazing Fast Code Generation How Claude Outperforms Python by 13,000x.mp4 18.32Мб
17. Day 3 - Blazing Fast Code Generation How Claude Outperforms Python by 13,000x.vtt 5.29Кб
17. Day 3 - Linear Regression for LLM Fine-Tuning Baseline Model Comparison.mp4 58.88Мб
17. Day 3 - Linear Regression for LLM Fine-Tuning Baseline Model Comparison.vtt 7.00Кб
17. Day 3 - Scraping RSS Feeds Building an AI-Powered Deal Selection System.mp4 88.08Мб
17. Day 3 - Scraping RSS Feeds Building an AI-Powered Deal Selection System.vtt 14.57Кб
17. Day 3 - Understanding Epochs and Batch Sizes in Model Training.mp4 9.39Мб
17. Day 3 - Understanding Epochs and Batch Sizes in Model Training.vtt 5.76Кб
17. Day 4 - Mastering AI Tools Building Advanced LLM-Powered Assistants with APIs.mp4 5.52Мб
17. Day 4 - Mastering AI Tools Building Advanced LLM-Powered Assistants with APIs.vtt 1.43Кб
17. Day 5 - Build Your Personal AI Knowledge Worker RAG for Productivity Boost.mp4 67.51Мб
17. Day 5 - Build Your Personal AI Knowledge Worker RAG for Productivity Boost.vtt 8.91Кб
17. Day 5 - Combining Frontier & Open-Source Models for Audio-to-Text Summarization.mp4 35.05Мб
17. Day 5 - Combining Frontier & Open-Source Models for Audio-to-Text Summarization.vtt 3.95Кб
18. Day 2 - How to Use Ollama for Local LLM Inference Python Tutorial with Jupyter.mp4 68.28Мб
18. Day 2 - How to Use Ollama for Local LLM Inference Python Tutorial with Jupyter.vtt 8.28Кб
18. Day 3 - Bag of Words NLP Implementing Count Vectorizer for Text Analysis in ML.mp4 82.40Мб
18. Day 3 - Bag of Words NLP Implementing Count Vectorizer for Text Analysis in ML.vtt 9.10Кб
18. Day 3 - Building a Gradio UI for Code Generation with Large Language Models.mp4 19.32Мб
18. Day 3 - Learning Rate, Gradient Accumulation, and Optimizers Explained.mp4 12.22Мб
18. Day 3 - Learning Rate, Gradient Accumulation, and Optimizers Explained.vtt 6.56Кб
18. Day 3 - Structured Outputs in AI Implementing GPT-4 for Detailed Deal Selection.mp4 154.91Мб
18. Day 3 - Structured Outputs in AI Implementing GPT-4 for Detailed Deal Selection.vtt 12.79Кб
18. Day 5 - Multimodal AI Assistants Integrating Image and Sound Generation.mp4 60.37Мб
18. Day 5 - Multimodal AI Assistants Integrating Image and Sound Generation.vtt 6.02Кб
18. Day 5 - Using Hugging Face & OpenAI for AI-Powered Meeting Minutes Generation.mp4 108.15Мб
18. Day 5 - Using Hugging Face & OpenAI for AI-Powered Meeting Minutes Generation.vtt 14.98Кб
19. Day 2 - Hands-On LLM Task Comparing OpenAI and Ollama for Text Summarization.mp4 3.69Мб
19. Day 2 - Hands-On LLM Task Comparing OpenAI and Ollama for Text Summarization.vtt 998б
19. Day 3 - Optimizing AI Workflows Refining Prompts for Accurate Price Recognition.mp4 22.36Мб
19. Day 3 - Optimizing AI Workflows Refining Prompts for Accurate Price Recognition.vtt 3.58Кб
19. Day 3 - Optimizing C++ Code Generation Comparing GPT and Claude Performance.mp4 32.46Мб
19. Day 3 - Optimizing C++ Code Generation Comparing GPT and Claude Performance.vtt 9.04Кб
19. Day 3 - Setting Up the Training Process for Fine-Tuning.mp4 66.90Мб
19. Day 3 - Setting Up the Training Process for Fine-Tuning.vtt 22.02Кб
19. Day 3 - Support Vector Regression vs Random Forest Machine Learning Face-Off.mp4 60.70Мб
19. Day 3 - Support Vector Regression vs Random Forest Machine Learning Face-Off.vtt 7.41Кб
19. Day 5 - Build a Synthetic Test Data Generator Open-Source AI Model for Business.mp4 51.22Мб
19. Day 5 - Build a Synthetic Test Data Generator Open-Source AI Model for Business.vtt 6.07Кб
19. Day 5 - Multimodal AI Integrating DALL-E 3 Image Generation in JupyterLab.mp4 136.54Мб
19. Day 5 - Multimodal AI Integrating DALL-E 3 Image Generation in JupyterLab.vtt 10.50Кб
20. Day 3 - Comparing GPT-4 and Claude for Code Generation Performance Benchmarks.mp4 40.46Мб
20. Day 3 - Comparing GPT-4 and Claude for Code Generation Performance Benchmarks.vtt 5.61Кб
20. Day 3 - Comparing Traditional ML Models From Random to Random Forest.mp4 26.54Мб
20. Day 3 - Comparing Traditional ML Models From Random to Random Forest.vtt 5.17Кб
20. Day 3 - Configuring SFTTrainer for 4-Bit Quantized LoRA Fine-Tuning of LLMs.mp4 69.97Мб
20. Day 3 - Configuring SFTTrainer for 4-Bit Quantized LoRA Fine-Tuning of LLMs.vtt 12.61Кб
20. Day 3 - Frontier AI Models Comparing GPT-4, Claude, Gemini, and LLAMA.mp4 61.31Мб
20. Day 3 - Frontier AI Models Comparing GPT-4, Claude, Gemini, and LLAMA.vtt 9.57Кб
20. Day 3 - Mastering Autonomous Agents Designing Multi-Agent AI Workflows.mp4 10.04Мб
20. Day 3 - Mastering Autonomous Agents Designing Multi-Agent AI Workflows.vtt 2.28Кб
20. Day 5 - Build a Multimodal AI Agent Integrating Audio & Image Tools.mp4 27.45Мб
20. Day 5 - Build a Multimodal AI Agent Integrating Audio & Image Tools.vtt 7.72Кб
21. Day 3 - Comparing Leading LLMs Strengths and Business Applications.mp4 5.18Мб
21. Day 3 - Comparing Leading LLMs Strengths and Business Applications.vtt 2.49Кб
21. Day 3 - Fine-Tuning LLMs Launching the Training Process with QLoRA.mp4 14.64Мб
21. Day 3 - Fine-Tuning LLMs Launching the Training Process with QLoRA.vtt 4.10Кб
21. Day 4 - Evaluating Frontier Models Comparing Performance to Baseline Frameworks.mp4 22.48Мб
21. Day 4 - Evaluating Frontier Models Comparing Performance to Baseline Frameworks.vtt 2.00Кб
21. Day 4 - Open Source LLMs for Code Generation Hugging Face Endpoints Explored.mp4 30.06Мб
21. Day 4 - Open Source LLMs for Code Generation Hugging Face Endpoints Explored.vtt 2.24Кб
21. Day 4 - The 5 Hallmarks of Agentic AI Autonomy, Planning, and Memory.mp4 114.88Мб
21. Day 4 - The 5 Hallmarks of Agentic AI Autonomy, Planning, and Memory.vtt 13.94Кб
21. Day 5 - How to Build a Multimodal AI Assistant Integrating Tools and Agents.mp4 44.02Мб
21. Day 5 - How to Build a Multimodal AI Assistant Integrating Tools and Agents.vtt 5.79Кб
22. Day 3 - Exploring GPT-4o vs O1 Preview Key Differences in Performance.mp4 8.51Мб
22. Day 3 - Exploring GPT-4o vs O1 Preview Key Differences in Performance.vtt 4.86Кб
22. Day 3 - Monitoring and Managing Training with Weights & Biases.mp4 9.91Мб
22. Day 3 - Monitoring and Managing Training with Weights & Biases.vtt 2.66Кб
22. Day 4 - Building an Agentic AI System Integrating Pushover for Notifications.mp4 36.79Мб
22. Day 4 - Building an Agentic AI System Integrating Pushover for Notifications.vtt 12.13Кб
22. Day 4 - How to Use HuggingFace Inference Endpoints for Code Generation Models.mp4 31.04Мб
22. Day 4 - How to Use HuggingFace Inference Endpoints for Code Generation Models.vtt 10.40Кб
22. Day 4 - Human vs AI Evaluating Price Prediction Performance in Frontier Models.mp4 115.03Мб
22. Day 4 - Human vs AI Evaluating Price Prediction Performance in Frontier Models.vtt 13.91Кб
23. Day 3 - Creativity and Coding Leveraging GPT-4o’s Canvas Feature.mp4 16.72Мб
23. Day 3 - Creativity and Coding Leveraging GPT-4o’s Canvas Feature.vtt 7.16Кб
23. Day 4 - GPT-4o Mini Frontier AI Model Evaluation for Price Estimation Tasks.mp4 115.10Мб
23. Day 4 - GPT-4o Mini Frontier AI Model Evaluation for Price Estimation Tasks.vtt 12.73Кб
23. Day 4 Implementing Agentic AI Creating a Planning Agent for Automated Workflows.mp4 40.37Мб
23. Day 4 Implementing Agentic AI Creating a Planning Agent for Automated Workflows.vtt 9.51Кб
23. Day 4 - Integrating Open-Source Models with Frontier LLMs for Code Generation.mp4 56.02Мб
23. Day 4 - Integrating Open-Source Models with Frontier LLMs for Code Generation.vtt 8.70Кб
23. Day 4 - Keeping Training Costs Low Efficient Fine-Tuning Strategies.mp4 18.26Мб
23. Day 4 - Keeping Training Costs Low Efficient Fine-Tuning Strategies.vtt 2.45Кб
24. Day 3 - Claude 3.5’s Alignment and Artifact Creation A Deep Dive.mp4 24.50Мб
24. Day 3 - Claude 3.5’s Alignment and Artifact Creation A Deep Dive.vtt 6.42Кб
24. Day 4 - Building an Agent Framework Connecting LLMs and Python Code.mp4 118.46Мб
24. Day 4 - Building an Agent Framework Connecting LLMs and Python Code.vtt 18.42Кб
24. Day 4 - Comparing Code Generation GPT-4, Claude, and CodeQuen LLMs.mp4 92.87Мб
24. Day 4 - Comparing Code Generation GPT-4, Claude, and CodeQuen LLMs.vtt 12.15Кб
24. Day 4 - Comparing GPT-4 and Claude Model Performance in Price Prediction Tasks.mp4 132.05Мб
24. Day 4 - Comparing GPT-4 and Claude Model Performance in Price Prediction Tasks.vtt 10.42Кб
24. Day 4 - Efficient Fine-Tuning Using Smaller Datasets for QLoRA Training.mp4 47.84Мб
24. Day 4 - Efficient Fine-Tuning Using Smaller Datasets for QLoRA Training.vtt 7.73Кб
25. Day 3 - AI Model Comparison Gemini vs Cohere for Whimsical and Analytical Tasks.mp4 16.37Мб
25. Day 3 - AI Model Comparison Gemini vs Cohere for Whimsical and Analytical Tasks.vtt 5.28Кб
25. Day 4 - Completing Agentic Workflows Scaling for Business Applications.mp4 53.93Мб
25. Day 4 - Completing Agentic Workflows Scaling for Business Applications.vtt 6.10Кб
25. Day 4 - Frontier AI Capabilities LLMs Outperforming Traditional ML Models.mp4 26.03Мб
25. Day 4 - Frontier AI Capabilities LLMs Outperforming Traditional ML Models.vtt 4.54Кб
25. Day 4 - Mastering Code Generation with LLMs Techniques and Model Selection.mp4 10.98Мб
25. Day 4 - Mastering Code Generation with LLMs Techniques and Model Selection.vtt 2.08Кб
25. Day 4 - Visualizing LLM Fine-Tuning Progress with Weights and Biases Charts.mp4 56.46Мб
25. Day 4 - Visualizing LLM Fine-Tuning Progress with Weights and Biases Charts.vtt 18.64Кб
26. Day 3 - Evaluating Meta AI and Perplexity Nuances of Model Outputs.mp4 33.40Мб
26. Day 3 - Evaluating Meta AI and Perplexity Nuances of Model Outputs.vtt 5.37Кб
26. Day 4 - Advanced Weights & Biases Tools and Model Saving on Hugging Face.mp4 56.54Мб
26. Day 4 - Advanced Weights & Biases Tools and Model Saving on Hugging Face.vtt 14.85Кб
26. Day 5 - Autonomous AI Agents Building Intelligent Systems Without Human Input.mp4 23.35Мб
26. Day 5 - Autonomous AI Agents Building Intelligent Systems Without Human Input.vtt 3.38Кб
26. Day 5 - Evaluating LLM Performance Model-Centric vs Business-Centric Metrics.mp4 122.00Мб
26. Day 5 - Evaluating LLM Performance Model-Centric vs Business-Centric Metrics.vtt 11.88Кб
26. Day 5 - Fine-Tuning LLMs with OpenAI Preparing Data, Training, and Evaluation.mp4 71.55Мб
26. Day 5 - Fine-Tuning LLMs with OpenAI Preparing Data, Training, and Evaluation.vtt 7.62Кб
27. Day 3 - LLM Leadership Challenge Evaluating AI Models Through Creative Prompts.mp4 43.50Мб
27. Day 3 - LLM Leadership Challenge Evaluating AI Models Through Creative Prompts.vtt 7.05Кб
27. Day 4 - End-to-End LLM Fine-Tuning From Problem Definition to Trained Model.mp4 9.17Мб
27. Day 4 - End-to-End LLM Fine-Tuning From Problem Definition to Trained Model.vtt 2.60Кб
27. Day 5 - AI Agents with Gradio Advanced UI Techniques for Autonomous Systems.mp4 106.73Мб
27. Day 5 - AI Agents with Gradio Advanced UI Techniques for Autonomous Systems.vtt 12.55Кб
27. Day 5 - How to Prepare JSONL Files for Fine-Tuning Large Language Models (LLMs).mp4 163.50Мб
27. Day 5 - How to Prepare JSONL Files for Fine-Tuning Large Language Models (LLMs).vtt 12.92Кб
27. Day 5 - Mastering LLM Code Generation Advanced Challenges for Python Developers.mp4 78.44Мб
27. Day 5 - Mastering LLM Code Generation Advanced Challenges for Python Developers.vtt 9.65Кб
28. Day 4 - Revealing the Leadership Winner A Fun LLM Challenge.mp4 64.04Мб
28. Day 4 - Revealing the Leadership Winner A Fun LLM Challenge.vtt 9.66Кб
28. Day 5 - Finalizing the Gradio UI for Our Agentic AI Solution.mp4 37.29Мб
28. Day 5 - Finalizing the Gradio UI for Our Agentic AI Solution.vtt 9.19Кб
28. Day 5 - Step-by-Step Guide Launching GPT Fine-Tuning Jobs with OpenAI API.mp4 65.09Мб
28. Day 5 - Step-by-Step Guide Launching GPT Fine-Tuning Jobs with OpenAI API.vtt 10.56Кб
28. Day 5 - The Four Steps in LLM Training From Forward Pass to Optimization.mp4 53.59Мб
28. Day 5 - The Four Steps in LLM Training From Forward Pass to Optimization.vtt 6.90Кб
29. Day 4 - Exploring the Journey of AI From Early Models to Transformers.mp4 12.56Мб
29. Day 4 - Exploring the Journey of AI From Early Models to Transformers.vtt 3.58Кб
29. Day 5 Enhancing AI Agent UI Gradio Integration for Real-Time Log Visualization.mp4 22.08Мб
29. Day 5 Enhancing AI Agent UI Gradio Integration for Real-Time Log Visualization.vtt 5.22Кб
29. Day 5 - Fine-Tuning LLMs Track Training Loss & Progress with Weights & Biases.mp4 74.19Мб
29. Day 5 - Fine-Tuning LLMs Track Training Loss & Progress with Weights & Biases.vtt 5.28Кб
29. Day 5 - QLoRA Training Process Forward Pass, Backward Pass and Loss Calculation.mp4 21.89Мб
29. Day 5 - QLoRA Training Process Forward Pass, Backward Pass and Loss Calculation.vtt 9.02Кб
30. Day 4 - Understanding LLM Parameters From GPT-1 to Trillion-Weight Models.mp4 9.49Мб
30. Day 4 - Understanding LLM Parameters From GPT-1 to Trillion-Weight Models.vtt 5.73Кб
30. Day 5 - Analyzing Results Monitoring Agent Framework Performance.mp4 10.13Мб
30. Day 5 - Analyzing Results Monitoring Agent Framework Performance.vtt 2.80Кб
30. Day 5 - Evaluating Fine-Tuned LLMs Metrics Analyzing Training & Validation Loss.mp4 107.41Мб
30. Day 5 - Evaluating Fine-Tuned LLMs Metrics Analyzing Training & Validation Loss.vtt 8.66Кб
30. Day 5 - Understanding Softmax and Cross-Entropy Loss in Model Training.mp4 68.00Мб
30. Day 5 - Understanding Softmax and Cross-Entropy Loss in Model Training.vtt 9.60Кб
31. Day 4 - GPT Tokenization Explained How Large Language Models Process Text Input.mp4 33.10Мб
31. Day 4 - GPT Tokenization Explained How Large Language Models Process Text Input.vtt 12.72Кб
31. Day 5 - AI Project Retrospective 8-Week Journey to Becoming an LLM Engineer.mp4 78.17Мб
31. Day 5 - AI Project Retrospective 8-Week Journey to Becoming an LLM Engineer.vtt 7.60Кб
31. Day 5 - LLM Fine-Tuning Challenges When Model Performance Doesn't Improve.mp4 12.86Мб
31. Day 5 - LLM Fine-Tuning Challenges When Model Performance Doesn't Improve.vtt 2.34Кб
31. Day 5 - Monitoring Fine-Tuning Weights & Biases for LLM Training Analysis.mp4 20.43Мб
31. Day 5 - Monitoring Fine-Tuning Weights & Biases for LLM Training Analysis.vtt 7.19Кб
31. Id-love-to-connect-on-LinkedIn-and-please-do-stay-in-touch.url 63б
32. Day 4 - How Context Windows Impact AI Language Models Token Limits Explained.mp4 15.33Мб
32. Day 4 - How Context Windows Impact AI Language Models Token Limits Explained.vtt 4.21Кб
32. Day 5 - Fine-Tuning Frontier LLMs Challenges & Best Practices for Optimization.mp4 127.63Мб
32. Day 5 - Fine-Tuning Frontier LLMs Challenges & Best Practices for Optimization.vtt 13.50Кб
32. Day 5 - Revisiting the Podium Comparing Model Performance Metrics.mp4 6.19Мб
32. Day 5 - Revisiting the Podium Comparing Model Performance Metrics.vtt 3.59Кб
33. Day 4 - Navigating AI Model Costs API Pricing vs. Chat Interface Subscriptions.mp4 16.34Мб
33. Day 4 - Navigating AI Model Costs API Pricing vs. Chat Interface Subscriptions.vtt 3.78Кб
33. Day 5 - Evaluation of our Proprietary, Fine-Tuned LLM against Business Metrics.mp4 93.48Мб
33. Day 5 - Evaluation of our Proprietary, Fine-Tuned LLM against Business Metrics.vtt 15.83Кб
34. Day 4 - Comparing LLM Context Windows GPT-4 vs Claude vs Gemini 1.5 Flash.mp4 21.21Мб
34. Day 4 - Comparing LLM Context Windows GPT-4 vs Claude vs Gemini 1.5 Flash.vtt 6.45Кб
34. Day 5 - Visualization of Results Did We Beat GPT-4.mp4 28.36Мб
34. Day 5 - Visualization of Results Did We Beat GPT-4.vtt 3.47Кб
35. Day 4 - Wrapping Up Day 4 Key Takeaways and Practical Insights.mp4 12.48Мб
35. Day 4 - Wrapping Up Day 4 Key Takeaways and Practical Insights.vtt 3.65Кб
35. Day 5 - Hyperparameter Tuning for LLMs Improving Model Accuracy with PEFT.mp4 30.34Мб
35. Day 5 - Hyperparameter Tuning for LLMs Improving Model Accuracy with PEFT.vtt 5.57Кб
36. Day 5 - Building AI-Powered Marketing Brochures with OpenAI API and Python.mp4 25.68Мб
36. Day 5 - Building AI-Powered Marketing Brochures with OpenAI API and Python.vtt 4.23Кб
37. Day 5 - JupyterLab Tutorial Web Scraping for AI-Powered Company Brochures.mp4 87.04Мб
37. Day 5 - JupyterLab Tutorial Web Scraping for AI-Powered Company Brochures.vtt 8.21Кб
38. Day 5 - Structured Outputs in LLMs Optimizing JSON Responses for AI Projects.mp4 96.41Мб
38. Day 5 - Structured Outputs in LLMs Optimizing JSON Responses for AI Projects.vtt 11.75Кб
39. Day 5 - Creating and Formatting Responses for Brochure Content.mp4 120.83Мб
39. Day 5 - Creating and Formatting Responses for Brochure Content.vtt 10.89Кб
40. Day 5 - Final Adjustments Optimizing Markdown and Streaming in JupyterLab.mp4 135.28Мб
40. Day 5 - Final Adjustments Optimizing Markdown and Streaming in JupyterLab.vtt 12.10Кб
41. Day 5 - Mastering Multi-Shot Prompting Enhancing LLM Reliability in AI Projects.mp4 19.92Мб
41. Day 5 - Mastering Multi-Shot Prompting Enhancing LLM Reliability in AI Projects.vtt 5.92Кб
42. Day 5 - Assignment Developing Your Customized LLM-Based Tutor.mp4 11.24Мб
42. Day 5 - Assignment Developing Your Customized LLM-Based Tutor.vtt 5.51Кб
43. Day 5 - Wrapping Up Week 1 Achievements and Next Steps.mp4 13.47Мб
43. Day 5 - Wrapping Up Week 1 Achievements and Next Steps.vtt 3.69Кб
43. I-always-love-connecting-on-LinkedIn-and-staying-in-touch-.url 63б
43. Resources-for-the-course.url 88б
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