| 19. HANDS-ON - Building LLM Applications with LangChain/9. Voice Assistant RAG System - Walkthrough and Demo.mp4 | 239.77 MB |
| 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/13. Hands-on - Re-ranking Implementation with Cohere - Full Implementation.mp4 | 222.7 MB |
| 23. Fine-tuning LLMs/7. HANDS-ON - Fine-tuning an OpenAI Model - Full Walkthrough.mp4 | 205.27 MB |
| 15. Vector Databases and Embeddings - Deep Dive/4. Why Vector Databases.mp4 | 204.3 MB |
| 19. HANDS-ON - Building LLM Applications with LangChain/2. News Summarizer - Full Implementation.mp4 | 200.53 MB |
| 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/7. Hands-on- Setting up the Workflow and Code Walkthrough.mp4 | 194.04 MB |
| 18. LLM Tools and Frameworks - LangChain Deep Dive/14. Hands-on Full RAG System QA Bot Using LangChain.mp4 | 177.79 MB |
| 12. Context & Memory Management for LLMs - Deep Dive/3. HANDS-ON - Adding Memory and Context to Chatbox.mp4 | 170.42 MB |
| 13. Logging in LLM Applications - Deep Dive/3. HANDS-ON - Chatbot with Logging.mp4 | 169.33 MB |
| 15. Vector Databases and Embeddings - Deep Dive/7. Vector Databases & Embeddings - Full Overview.mp4 | 158.06 MB |
| 21. Multimodal RAG - Deep Dive/4. Multimodal RAG - Overview & Motivation and Benefits - How it Works.mp4 | 153.85 MB |
| 19. HANDS-ON - Building LLM Applications with LangChain/5. Youtube Video Summarizer Class Setup and Walkthrough.mp4 | 149.2 MB |
| 12. Context & Memory Management for LLMs - Deep Dive/2. What is Context and Memory Management - Deep Dive.mp4 | 143.84 MB |
| 16. HANDS-ON - RAG PDF Workflow - Build RAG Workflows Deep Dive/4. HANDS-ON - Building and Showcasing the RAG Workflow.mp4 | 143.05 MB |
| 15. Vector Databases and Embeddings - Deep Dive/12. The Top 5 Vector Databases - Overview.mp4 | 142.55 MB |
| 22. AI Agents & Agentic Workflows - Deep Dive/26. Adding Nodes and Edges and Running our Agent.mp4 | 140.82 MB |
| 24. Fine-Tuning Technique - LoRA Deep Dive/4. Hands-on - Training Models - LoRA and PEFT.mp4 | 136.12 MB |
| 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/5. HANDS-ON - Create a Simple LLM from the Transformers Library - Simple.mp4 | 135.86 MB |
| 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/72. Building an Image Watermarker in Python - Part 1.mp4 | 130.31 MB |
| 22. AI Agents & Agentic Workflows - Deep Dive/1. AI Agents Deep Dive - A Full Overview.mp4 | 127.33 MB |
| 15. Vector Databases and Embeddings - Deep Dive/15. Chroma Database workflow.mp4 | 126.82 MB |
| 23. Fine-tuning LLMs/2. Fine-tuning Techniques - Overview.mp4 | 121.43 MB |
| 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/77. Plotting a Graph with CSV Data.mp4 | 118.53 MB |
| 22. AI Agents & Agentic Workflows - Deep Dive/25. Creating All Nodes - Functions.mp4 | 116.83 MB |
| 17. HANDS-ON - Build a PDF RAG System with Text Chunking/4. Testing the PDF RAG System.mp4 | 116.4 MB |
| 22. AI Agents & Agentic Workflows - Deep Dive/5. Build our First AI Agent - Creating the Agent Class and Prompt.mp4 | 113.83 MB |
| 19. HANDS-ON - Building LLM Applications with LangChain/6. Youtube Video Summarizer Q&A - Testing the Workflow.mp4 | 113.7 MB |
| 11. Ollama & Open-Source Models - Complete Guide/3. Ollama Deep Dive - Ollama Overview - What is Ollama and Advantages.mp4 | 112.36 MB |
| 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/73. Generating the Watermarked Images.mp4 | 112.25 MB |
| 22. AI Agents & Agentic Workflows - Deep Dive/7. Passing Complex Queries Through the Agent.mp4 | 111.12 MB |
| 17. HANDS-ON - Build a PDF RAG System with Text Chunking/3. Setting up the SimpleRAGSystem Class and Methods.mp4 | 110.64 MB |
| 15. Vector Databases and Embeddings - Deep Dive/6. Traditional vs. Vector Databases - Limitations and challenges.mp4 | 110.47 MB |
| 06. Deep and Machine Learning Deep Dive/2. Deep Learning Key Aspects.mp4 | 109.43 MB |
| 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/3. Deep Dive into Each Naive RAG Drawbacks.mp4 | 107.01 MB |
| 22. AI Agents & Agentic Workflows - Deep Dive/20. Adding Memory to Our Agent State.mp4 | 106.65 MB |
| 22. AI Agents & Agentic Workflows - Deep Dive/15. Building a Simple Agent with LangChain.mp4 | 106.38 MB |
| 21. Multimodal RAG - Deep Dive/9. Finish the Multimodal Search System.mp4 | 104.11 MB |
| 11. Ollama & Open-Source Models - Complete Guide/8. Ollama Model Parameters Deep Dive.mp4 | 103.76 MB |
| 22. AI Agents & Agentic Workflows - Deep Dive/8. First Agent - Using a Loop to Automate our Agent.mp4 | 102.85 MB |
| 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/68. Hands-on - File Organizer.mp4 | 102.59 MB |
| 06. Deep and Machine Learning Deep Dive/3. Deep Neural Network Dissection - Full Dive with Analogies.mp4 | 101.4 MB |
| 15. Vector Databases and Embeddings - Deep Dive/10. Vector Databases Use Cases.mp4 | 101 MB |
| 17. HANDS-ON - Build a PDF RAG System with Text Chunking/2. PDF and Chunk Processing and Chunk Overlap - Deep Dive.mp4 | 100.57 MB |
| 06. Deep and Machine Learning Deep Dive/1. Deep and Machine Learning Deep Dive - Overview and Breakdown.mp4 | 100.54 MB |
| 15. Vector Databases and Embeddings - Deep Dive/21. Using OpenAIs Embedding API to Create Embedding in ChromaDB.mp4 | 97.23 MB |
| 12. Context & Memory Management for LLMs - Deep Dive/1. HANDS-ON - Context and Memory Management Overview.mp4 | 97.13 MB |
| 22. AI Agents & Agentic Workflows - Deep Dive/27. Adding a GUI to the Agent with Streamlit.mp4 | 96.31 MB |
| 22. AI Agents & Agentic Workflows - Deep Dive/11. LangGraph - Overview & Key Concepts.mp4 | 96.13 MB |
| 18. LLM Tools and Frameworks - LangChain Deep Dive/8. Hands-on Embeddings and Retriever with FAISS VectorStore.mp4 | 94.16 MB |
| 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/6. HANDS-ON - Hands-on Enhanced Transformers LLM.mp4 | 93.74 MB |