Udemy - AI & LLM Engineering Mastery GenAI, RAG Complete Guide (2.2025)

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Udemy - AI & LLM Engineering Mastery GenAI, RAG Complete Guide (2.2025)

磁力链接/BT种子简介

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文件列表

  • 19. HANDS-ON - Building LLM Applications with LangChain/9. Voice Assistant RAG System - Walkthrough and Demo.mp4 251.4 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/13. Hands-on - Re-ranking Implementation with Cohere - Full Implementation.mp4 233.5 MB
  • 23. Fine-tuning LLMs/7. HANDS-ON - Fine-tuning an OpenAI Model - Full Walkthrough.mp4 215.2 MB
  • 15. Vector Databases and Embeddings - Deep Dive/4. Why Vector Databases.mp4 214.2 MB
  • 19. HANDS-ON - Building LLM Applications with LangChain/2. News Summarizer - Full Implementation.mp4 210.3 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/7. Hands-on- Setting up the Workflow and Code Walkthrough.mp4 203.5 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/14. Hands-on Full RAG System QA Bot Using LangChain.mp4 186.4 MB
  • 12. Context & Memory Management for LLMs - Deep Dive/3. HANDS-ON - Adding Memory and Context to Chatbox.mp4 178.7 MB
  • 13. Logging in LLM Applications - Deep Dive/3. HANDS-ON - Chatbot with Logging.mp4 177.6 MB
  • 15. Vector Databases and Embeddings - Deep Dive/7. Vector Databases & Embeddings - Full Overview.mp4 165.7 MB
  • 21. Multimodal RAG - Deep Dive/4. Multimodal RAG - Overview & Motivation and Benefits - How it Works.mp4 161.3 MB
  • 19. HANDS-ON - Building LLM Applications with LangChain/5. Youtube Video Summarizer Class Setup and Walkthrough.mp4 156.5 MB
  • 12. Context & Memory Management for LLMs - Deep Dive/2. What is Context and Memory Management - Deep Dive.mp4 150.8 MB
  • 16. HANDS-ON - RAG PDF Workflow - Build RAG Workflows Deep Dive/4. HANDS-ON - Building and Showcasing the RAG Workflow.mp4 150.0 MB
  • 15. Vector Databases and Embeddings - Deep Dive/12. The Top 5 Vector Databases - Overview.mp4 149.5 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/26. Adding Nodes and Edges and Running our Agent.mp4 147.7 MB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/4. Hands-on - Training Models - LoRA and PEFT.mp4 142.7 MB
  • 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/5. HANDS-ON - Create a Simple LLM from the Transformers Library - Simple.mp4 142.5 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/72. Building an Image Watermarker in Python - Part 1.mp4 136.6 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/1. AI Agents Deep Dive - A Full Overview.mp4 133.5 MB
  • 15. Vector Databases and Embeddings - Deep Dive/15. Chroma Database workflow.mp4 133.0 MB
  • 23. Fine-tuning LLMs/2. Fine-tuning Techniques - Overview.mp4 127.3 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/77. Plotting a Graph with CSV Data.mp4 124.3 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/25. Creating All Nodes - Functions.mp4 122.5 MB
  • 17. HANDS-ON - Build a PDF RAG System with Text Chunking/4. Testing the PDF RAG System.mp4 122.1 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/5. Build our First AI Agent - Creating the Agent Class and Prompt.mp4 119.4 MB
  • 19. HANDS-ON - Building LLM Applications with LangChain/6. Youtube Video Summarizer Q&A - Testing the Workflow.mp4 119.2 MB
  • 11. Ollama & Open-Source Models - Complete Guide/3. Ollama Deep Dive - Ollama Overview - What is Ollama and Advantages.mp4 117.8 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/73. Generating the Watermarked Images.mp4 117.7 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/7. Passing Complex Queries Through the Agent.mp4 116.5 MB
  • 17. HANDS-ON - Build a PDF RAG System with Text Chunking/3. Setting up the SimpleRAGSystem Class and Methods.mp4 116.0 MB
  • 15. Vector Databases and Embeddings - Deep Dive/6. Traditional vs. Vector Databases - Limitations and challenges.mp4 115.8 MB
  • 06. Deep and Machine Learning Deep Dive/2. Deep Learning Key Aspects.mp4 114.7 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/3. Deep Dive into Each Naive RAG Drawbacks.mp4 112.2 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/20. Adding Memory to Our Agent State.mp4 111.8 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/15. Building a Simple Agent with LangChain.mp4 111.5 MB
  • 21. Multimodal RAG - Deep Dive/9. Finish the Multimodal Search System.mp4 109.2 MB
  • 11. Ollama & Open-Source Models - Complete Guide/8. Ollama Model Parameters Deep Dive.mp4 108.8 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/8. First Agent - Using a Loop to Automate our Agent.mp4 107.8 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/68. Hands-on - File Organizer.mp4 107.6 MB
  • 06. Deep and Machine Learning Deep Dive/3. Deep Neural Network Dissection - Full Dive with Analogies.mp4 106.3 MB
  • 15. Vector Databases and Embeddings - Deep Dive/10. Vector Databases Use Cases.mp4 105.9 MB
  • 17. HANDS-ON - Build a PDF RAG System with Text Chunking/2. PDF and Chunk Processing and Chunk Overlap - Deep Dive.mp4 105.5 MB
  • 06. Deep and Machine Learning Deep Dive/1. Deep and Machine Learning Deep Dive - Overview and Breakdown.mp4 105.4 MB
  • 15. Vector Databases and Embeddings - Deep Dive/21. Using OpenAIs Embedding API to Create Embedding in ChromaDB.mp4 102.0 MB
  • 12. Context & Memory Management for LLMs - Deep Dive/1. HANDS-ON - Context and Memory Management Overview.mp4 101.8 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/27. Adding a GUI to the Agent with Streamlit.mp4 101.0 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/11. LangGraph - Overview & Key Concepts.mp4 100.8 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/8. Hands-on Embeddings and Retriever with FAISS VectorStore.mp4 98.7 MB
  • 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/6. HANDS-ON - Hands-on Enhanced Transformers LLM.mp4 98.3 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/3. LangChain Setup and ChatModel.mp4 97.0 MB
  • 11. Ollama & Open-Source Models - Complete Guide/17. Ollama Model Running Under Msty App.mp4 96.8 MB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/6. Creating an API Service to Interface with Our Fine-tuned Models.mp4 96.3 MB
  • 15. Vector Databases and Embeddings - Deep Dive/30. Generating Embeddings from Documents and Insert to Vector Database.mp4 96.1 MB
  • 16. HANDS-ON - RAG PDF Workflow - Build RAG Workflows Deep Dive/5. HANDS-ON - RAG Workflow with UI - Streamlit.mp4 93.0 MB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/5. Running LoRA Model Fine-tuning and Testing.mp4 92.4 MB
  • 15. Vector Databases and Embeddings - Deep Dive/19. Chroma Vector Database - Persisting Data and Saving.mp4 90.3 MB
  • 21. Multimodal RAG - Deep Dive/7. Visual Explanation Why Multimodal Search is so Powerful.mp4 89.6 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/10. Re-Ranking & Cross-encoder and Bi-encoders - Overview.mp4 89.5 MB
  • 15. Vector Databases and Embeddings - Deep Dive/3. Introduction to Vector Databases - Full Overview.mp4 89.5 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/49. Inheritance - Create an Ebook - Child Class.mp4 85.8 MB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/2. LoRA Deep Analysis.mp4 84.3 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/2. What is LangChain and and Main Components.mp4 83.7 MB
  • 13. Logging in LLM Applications - Deep Dive/2. Logging in LLM Applications and Logging Life Cycle.mp4 83.1 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/52. The Object Class - Overview.mp4 82.9 MB
  • 21. Multimodal RAG - Deep Dive/2. RAG & Multimodal RAG - Recap and Overview.mp4 81.7 MB
  • 17. HANDS-ON - Build a PDF RAG System with Text Chunking/1. PDF RAG Workflow - Architecture Overview.mp4 81.4 MB
  • 21. Multimodal RAG - Deep Dive/14. Setting up the RAG Workflow.mp4 80.7 MB
  • 15. Vector Databases and Embeddings - Deep Dive/29. Loading all Documents.mp4 80.4 MB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/9. Full LoRA Workflow - Train and Chat with Fine-tuned Models.mp4 79.5 MB
  • 16. HANDS-ON - RAG PDF Workflow - Build RAG Workflows Deep Dive/3. Setting up the Embedding Model Class.mp4 79.3 MB
  • 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/1. LLMs - Overview.mp4 79.2 MB
  • 11. Ollama & Open-Source Models - Complete Guide/4. Ollama Key Features and Use Cases.mp4 78.6 MB
  • 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/2. The Transformer Architecture - Fundamentals.mp4 78.5 MB
  • 15. Vector Databases and Embeddings - Deep Dive/32. Using OpenAI LLM to Generate Response - Full Workflow.mp4 78.3 MB
  • 15. Vector Databases and Embeddings - Deep Dive/20. Creating an OpenAI Embeddings - Raw without Chroma.mp4 77.9 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/2. What is RAG and Naive RAG Overview and Pitfalls - Motivation.mp4 77.5 MB
  • 15. Vector Databases and Embeddings - Deep Dive/22. Vector Databases Metrics and Data Structures.mp4 76.8 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/17. Adding Tools to our Basic LangGraph Agent.mp4 76.8 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/18. Adding tools to the Agent - Part 1.mp4 76.7 MB
  • 14. RAG - Retrieval-Augmented Generation - Deep Dive/4. RAG Deep Dive - Full Diagram Walkthrough.mp4 75.1 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/69. Python Virtual Environment and PIP.mp4 74.2 MB
  • 15. Vector Databases and Embeddings - Deep Dive/16. Creating a ChromaDB and Adding Documents and Querying.mp4 73.8 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/21. Adding Human-in-the-loop to the AI Agent.mp4 72.7 MB
  • 21. Multimodal RAG - Deep Dive/8. HANDS-on Multimodal Search System setup - Create Embeddings from Images.mp4 72.1 MB
  • 21. Multimodal RAG - Deep Dive/3. RAG Benefits and Practical Applications.mp4 71.3 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/6. First AI Agent - Running our First Agent and Seeing the Results.mp4 71.1 MB
  • 15. Vector Databases and Embeddings - Deep Dive/31. Getting the Relevant Chunks when Given a Query.mp4 71.0 MB
  • 15. Vector Databases and Embeddings - Deep Dive/28. Vector Databases and LLM - Deep Dive.mp4 70.7 MB
  • 06. Deep and Machine Learning Deep Dive/6. Activation Functions - Deep Dive with Analogies.mp4 68.7 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/34. Hands-on Dream Travel Itinerary Program - Filling a Dictionary with User Input.mp4 68.6 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/5. Hands-on - Query Expansion with Multiple Queries - Generate Multiple Queries.mp4 68.0 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/13. Hands-on - Simple RAG System with Chat and LangChain Chains.mp4 67.9 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/10. Agent Introduction - Section Summary.mp4 67.5 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/8. Query Expansion Full RAG Workflow.mp4 67.4 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/7. Hands-on Text Splitting and Cleaning.mp4 66.8 MB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/1. LoRA Introduction - Benefits.mp4 66.5 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/67. Hands-on - Writing and Reading - Countries to JSON file.mp4 66.0 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/32. Hands-on - Quiz Game.mp4 65.2 MB
  • 21. Multimodal RAG - Deep Dive/10. HANDS-ON - Multimodal Recommender System - Overview.mp4 64.5 MB
  • 15. Vector Databases and Embeddings - Deep Dive/9. Vector Databases - How They Work and Advantages.mp4 64.4 MB
  • 21. Multimodal RAG - Deep Dive/15. Putting it all Together and Testing the Multimodal Recommender RAG System.mp4 63.2 MB
  • 21. Multimodal RAG - Deep Dive/5. How Search Is Integrated into a Multimodal RAG System - Full Workflow.mp4 63.1 MB
  • 14. RAG - Retrieval-Augmented Generation - Deep Dive/5. RAG Benefits and Practical Applications.mp4 62.7 MB
  • 06. Deep and Machine Learning Deep Dive/4. The Single Neuron Computation - Deep Dive.mp4 62.7 MB
  • 06. Deep and Machine Learning Deep Dive/9. Learning Types - Education System Analogy.mp4 62.5 MB
  • 16. HANDS-ON - RAG PDF Workflow - Build RAG Workflows Deep Dive/2. First RAG Workflow Architectural Diagram.mp4 61.7 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/65. Custom Exception Creation and handling.mp4 60.9 MB
  • 09. OpenAI Models and Setup/3. HANDS-ON - Making our First Call to OpenAI Model.mp4 60.6 MB
  • 07. Generative AI (GenAI) - Deep Dive/2. GenAI Key Technologies - Limitations and challenges.mp4 60.5 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/28. Optimization Techniques - Overview.mp4 60.4 MB
  • 15. Vector Databases and Embeddings - Deep Dive/5. Vector Databases - Benefits and Advantages.mp4 60.3 MB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/7. Testing our LoRA Model API Endpoint.mp4 60.1 MB
  • 15. Vector Databases and Embeddings - Deep Dive/8. Embeddings vs. Vectors - Differences.mp4 60.0 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/24. Agent State and Prompts Setup.mp4 60.0 MB
  • 25. Wrap up and Next Steps/1. Wrap up and Next Steps.mp4 59.5 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/1. RAG and the RAG Triad - Quick Overview and Recap.mp4 59.1 MB
  • 15. Vector Databases and Embeddings - Deep Dive/18. Chroma Default Embedding Function.mp4 58.6 MB
  • 19. HANDS-ON - Building LLM Applications with LangChain/4. Youtube Video Summarizer & Q&A Dependency Setup.mp4 57.9 MB
  • 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/3. The Self-Attention Mechanism - Analogy.mp4 57.5 MB
  • 23. Fine-tuning LLMs/1. Fine-tuning Introduction - Overview.mp4 57.5 MB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/2. Prompt Engineering and Types - Why it Matters.mp4 57.5 MB
  • 15. Vector Databases and Embeddings - Deep Dive/17. Looping Through the Results & Showing Similarity Search Results.mp4 57.3 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/50. Overriding Methods.mp4 57.2 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/16. LangGraph Simple Bot - Streaming Values - Console App.mp4 55.8 MB
  • 11. Ollama & Open-Source Models - Complete Guide/20. Ollama Python Library - Chatting with a Model.mp4 55.5 MB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/8. Chatting with LoRA Fine-tuned Models.mp4 55.5 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/2. Agents Characteristics and Use Cases.mp4 55.3 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/4. Hands-on - LangChain ChatPromptTemplates.mp4 55.0 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/4. Advanced RAG Technique - Query Expansion with Multiple Queries - Overview.mp4 54.9 MB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/4. Advanced Prompting Techniques and Challenges.mp4 54.3 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/1. LLM Frameworks Introduction - LangChain Fundamentals.mp4 53.8 MB
  • 11. Ollama & Open-Source Models - Complete Guide/12. Summarization and Sentiment Analysis & Customizing Our Model.mp4 53.0 MB
  • 06. Deep and Machine Learning Deep Dive/8. Machine Learning Introduction - Machine Learning vs. Deep Learning.mp4 53.0 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/19. Adding Tools to the Agent - Using Built-in Tools - Part 2.mp4 52.6 MB
  • 21. Multimodal RAG - Deep Dive/6. Why Multimodal Search is so Powerful.mp4 51.7 MB
  • 09. OpenAI Models and Setup/2. Using APIs Effectively in AI Projects.mp4 51.3 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/74. Reading CSV File - Introduction.mp4 51.2 MB
  • 07. Generative AI (GenAI) - Deep Dive/1. GenAI Introduction and Architecture Overview.mp4 51.1 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/12. LangGraph - How It Helps Build AI Agents.mp4 50.8 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/70. Setting up Virtual Environment and Installing a Package.mp4 50.6 MB
  • 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/7. Open-source vs. Closed-source Models - Overview.mp4 50.6 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/27. Nested Dictionaries and Looping Through Them.mp4 50.5 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/66. JSON - Reading and Writing to a JSON File.mp4 50.2 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/45. Classes and OOP - Object Oriented Programming - The init and str methods.mp4 49.8 MB
  • 06. Deep and Machine Learning Deep Dive/10. Comparative Capabilities Deep Learning and Machine Learning and AI - Summary.mp4 49.7 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/56. Using Datetime Module.mp4 49.4 MB
  • 15. Vector Databases and Embeddings - Deep Dive/14. Setup VS-Code, Python and OpenAI API Key.mp4 48.1 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/20. Hands-on - Using AND and OR Logical Operators.mp4 48.0 MB
  • 11. Ollama & Open-Source Models - Complete Guide/6. HANDS-ON - Download and Setup Ollama and Llama3.2 Model.mp4 48.0 MB
  • 09. OpenAI Models and Setup/1. Setup OpenAI Account and API Key.mp4 47.7 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/18. Branching - If Statements and Booleans.mp4 47.7 MB
  • 11. Ollama & Open-Source Models - Complete Guide/11. Pull in the Llava Multimodal Model and Caption an Image.mp4 47.6 MB
  • 21. Multimodal RAG - Deep Dive/13. Testing our MultiModal Recommender System - Fetching the Correct Images.mp4 47.5 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/10. Sorting a List and Getting a List Length.mp4 47.4 MB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/5. HANDS-ON - Few-shots Prompting.mp4 47.1 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/31. While Loops & Simple Quit Program.mp4 46.9 MB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/11. HANDS-ON - Prompt Techniques Combination and Streaming.mp4 46.4 MB
  • 11. Ollama & Open-Source Models - Complete Guide/18. Ollama Python SDK for Building LLM Local Applications.mp4 46.4 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/10. LangChain DirectoryLoader.mp4 46.3 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/29. User Input and While Loops - User Input - Introduction.mp4 45.9 MB
  • 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/4. The Transformers Library - Deep Dive.mp4 45.6 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/8. Introduction to Lists - Accessing and Modifying Them.mp4 44.5 MB
  • 11. Ollama & Open-Source Models - Complete Guide/7. Ollama Models Page - Overview.mp4 44.5 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/9. Adding Interactive to Our Agent - Console App.mp4 44.3 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/51. Creating and Importing from a Module.mp4 43.4 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/13. LangGraph Core Concepts - Simple Flow Diagram.mp4 43.4 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/42. Passing an Arbitrary Number of Arguments to a Function.mp4 42.6 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/12. Cohere Rerank API Key Setup.mp4 42.4 MB
  • 23. Fine-tuning LLMs/8. Crating a Chatbot with our Fine-tuned Model and Testing.mp4 42.0 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/54. Random Module - Random Fruit Hands-on.mp4 41.5 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/5. Indexes, Retrievers and Data Preparation - Overview.mp4 41.3 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/75. Getting the CSV header Position.mp4 40.7 MB
  • 21. Multimodal RAG - Deep Dive/16. Adding a Streamlit UI to the Multimodal Recommender System.mp4 40.5 MB
  • 11. Ollama & Open-Source Models - Complete Guide/13. Ollama REST API - Generate and Chat Endpoints.mp4 39.2 MB
  • 01. Introduction/2. DEMO - What You'll Build in this Course.mp4 38.7 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/12. Hands-on LangChain Chains.mp4 38.7 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/12. Making a List of Numbers with Loops and the Range Function.mp4 38.2 MB
  • 11. Ollama & Open-Source Models - Complete Guide/16. Different Ways to Interact with Ollama Models.mp4 38.1 MB
  • 15. Vector Databases and Embeddings - Deep Dive/26. Dot Product.mp4 37.6 MB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/3. HANDS-ON - Simple Prompting Example.mp4 37.4 MB
  • 11. Ollama & Open-Source Models - Complete Guide/19. HANDS-ON - Interact with Llama3 in Python Using Ollama REST API.mp4 37.4 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/14. LangGraph - Data and State - Overview.mp4 37.2 MB
  • 19. HANDS-ON - Building LLM Applications with LangChain/8. Voice Assistant RAG System - Demo.mp4 36.9 MB
  • 11. Ollama & Open-Source Models - Complete Guide/1. Ollama - Introduction.mp4 36.6 MB
  • 23. Fine-tuning LLMs/4. Fine-tuning General Process - Overview.mp4 36.3 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/43. Introduction to Modules - Importing Specific functions from a Module.mp4 36.1 MB
  • 23. Fine-tuning LLMs/3. Fine-tuning Comparison of Techniques.mp4 35.6 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/5. Data Types.mp4 34.5 MB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/9. HANDS-ON - Role-Playing and Open-ended Prompting.mp4 34.5 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/6. Hands-On - LangChain TextLoaders.mp4 34.4 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/25. Modifying a Dictionary.mp4 33.8 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/40. Hands-on - Returning an Integer & Intro do DocString.mp4 33.7 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/24. Data Structures - Dictionaries - Introduction and Declaring and Accessing Values.mp4 33.5 MB
  • 16. HANDS-ON - RAG PDF Workflow - Build RAG Workflows Deep Dive/6. First RAG Pipeline Summary.mp4 33.5 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/28. Looping through a Dictionary with a List Inside.mp4 33.1 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/63. Handling Exceptions.mp4 33.0 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/4. Building our First AI Agent - Project Setup (OpenAI API).mp4 32.9 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/76. Reading Data from a CSV Column.mp4 32.6 MB
  • 13. Logging in LLM Applications - Deep Dive/1. Logging - Introduction - What and the Why.mp4 32.4 MB
  • 11. Ollama & Open-Source Models - Complete Guide/23. Create a Custom Model in Code.mp4 32.1 MB
  • 21. Multimodal RAG - Deep Dive/12. Saving Images Embeddings to Vector Database.mp4 32.0 MB
  • 06. Deep and Machine Learning Deep Dive/5. Wights - Deep Dive.mp4 31.9 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/16. List Comprehension.mp4 31.1 MB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/10. Temperature and Top-p Sampling.mp4 30.9 MB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/8. HANDS-ON - Instructional Prompting.mp4 30.8 MB
  • 15. Vector Databases and Embeddings - Deep Dive/24. Vector Similarity Deep Dive - Cosine Similarity.mp4 30.8 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/30. Hands-on - Odd or Even Number.mp4 30.3 MB
  • 23. Fine-tuning LLMs/5. Fine-tuning OpenAI Models Pricing.mp4 30.3 MB
  • 14. RAG - Retrieval-Augmented Generation - Deep Dive/3. RAG vs. Pure GenAI Models.mp4 30.3 MB
  • 23. Fine-tuning LLMs/6. Tokens and the Tokenizer OpenAI Tool.mp4 30.1 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/9. LangChain TextSplitter - Deep Dive.mp4 30.1 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/55. Hands-on - Random Fruit with Choice Module Method.mp4 30.0 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/19. The Elif and the in Keywords.mp4 29.8 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/26. Iterating Through a Dictionary.mp4 29.5 MB
  • 21. Multimodal RAG - Deep Dive/11. Getting our Dataset from HuggingFace & showing Number of Rows.mp4 29.2 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/4. Declaring Variables in Python.mp4 29.0 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/39. Return Values from a Function.mp4 28.5 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/29. Financial Report Writer AI Agent - Course Summary.mp4 28.0 MB
  • 14. RAG - Retrieval-Augmented Generation - Deep Dive/7. RAG Fundamentals - Takeaways - Summary.mp4 27.7 MB
  • 15. Vector Databases and Embeddings - Deep Dive/33. Summary.mp4 27.5 MB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/11. LangChain PDFLoader.mp4 27.1 MB
  • 19. HANDS-ON - Building LLM Applications with LangChain/7. LLM Application - Voice Assistant RAG System - Architectural Overview.mp4 27.1 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/64. The FileNotFound and IndexError Exceptions Types.mp4 27.0 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/62. Read and Write to File Using the with Keyword.mp4 26.8 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/48. Modifying Class Attribute - directly and with Methods.mp4 26.7 MB
  • 15. Vector Databases and Embeddings - Deep Dive/25. Eucledian Distance - L2 Norm.mp4 26.6 MB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/1. Prompt Engineering Introduction.mp4 26.5 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/60. Path Properties Overview.mp4 26.2 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/22. Building AI Agents with LangChain - Section Summary.mp4 25.9 MB
  • 11. Ollama & Open-Source Models - Complete Guide/14. Ollama REST API - Request JSON Mode.mp4 25.9 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/58. The Path Class & Reading a Text File.mp4 25.8 MB
  • 14. RAG - Retrieval-Augmented Generation - Deep Dive/2. RAG Key Components - The RAG Triad.mp4 25.7 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/36. Passing Information to a Function (parameters).mp4 25.5 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/53. The Python Standard Library.mp4 25.4 MB
  • 11. Ollama & Open-Source Models - Complete Guide/9. Understanding Parameters and Disk Size and Computational Resources Needed.mp4 25.3 MB
  • 19. HANDS-ON - Building LLM Applications with LangChain/1. LLM Application - News Summarizer - Architectural Overview.mp4 25.3 MB
  • 22. AI Agents & Agentic Workflows - Deep Dive/23. Hands-on - Build a Financial Report Writer AI Agent.mp4 25.3 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/9. Query Expansion with Multiple Queries Downsides & Summary.mp4 25.2 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/23. Hands-on - Inner If-Statements.mp4 25.0 MB
  • 02. Development Environment Setup/2. Install Python on Windows - for WINDOWS USERS.mp4 24.8 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/6. Python f-Strings.mp4 24.5 MB
  • 17. HANDS-ON - Build a PDF RAG System with Text Chunking/5. Simple PDF RAG Workflow - Summary.mp4 24.2 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/14. Generate Even Numbers with the List and Range.mp4 24.1 MB
  • 19. HANDS-ON - Building LLM Applications with LangChain/3. LLM Application - Youtube Video Summarizer - Architectural Overview.mp4 23.9 MB
  • 11. Ollama & Open-Source Models - Complete Guide/10. Ollama CLI Commands -Pull and Testing a Model.mp4 23.8 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/9. f-Strings & Individual Values from a List.mp4 23.6 MB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/7. HANDS-ON -Chain-of-Thoughts Prompting.mp4 23.5 MB
  • 01. Introduction/4. How To Get The Most from This Course.mp4 23.2 MB
  • 07. Generative AI (GenAI) - Deep Dive/3. GenAI Key Components Overview and Summary.mp4 22.9 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/11. Lists and Loops - Looping through a List.mp4 22.9 MB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/3. LoRA Implementation Strategy Workflow.mp4 22.9 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/7. Numbers - Integers and Floats.mp4 22.4 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/13. Statistics Functions for Numbers.mp4 21.7 MB
  • 02. Development Environment Setup/6. Running First Python Program in VS Code.mp4 21.5 MB
  • 11. Ollama & Open-Source Models - Complete Guide/15. Ollama Models Support Different Tasks - Summary.mp4 21.0 MB
  • 15. Vector Databases and Embeddings - Deep Dive/27. Summary.mp4 20.8 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/6. Query Expansion Workflow Architectural Diagram.mp4 20.5 MB
  • 06. Deep and Machine Learning Deep Dive/7. Deep Learning Summary.mp4 20.4 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/46. Adding More Methods to the Class.mp4 20.2 MB
  • 14. RAG - Retrieval-Augmented Generation - Deep Dive/1. RAG Introduction - What is it.mp4 20.1 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/11. Reranking Technique RAG System Workflow Architecture.mp4 19.9 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/71. Hands-on Watermarker Python Tool.mp4 19.6 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/38. Default Values - Parameters.mp4 19.4 MB
  • 15. Vector Databases and Embeddings - Deep Dive/13. Building Vector Databases - Dev Environment Setup.mp4 19.1 MB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/6. HANDS-ON - Zero-shot Prompting.mp4 18.6 MB
  • 11. Ollama & Open-Source Models - Complete Guide/5. System Requirements & Ollama Setup - Overview.mp4 18.1 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/35. Functions - Introduction.mp4 17.6 MB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/12. Prompt Engineering Summary and Takeaways.mp4 17.5 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/41. Functions - Passing a List as Argument.mp4 17.4 MB
  • 11. Ollama & Open-Source Models - Complete Guide/22. Using Ollama Show Function.mp4 17.1 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/17. Tuples.mp4 16.9 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/61. Writing to Text file with Path.mp4 16.9 MB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/14. Re-ranking Summary.mp4 16.9 MB
  • 14. RAG - Retrieval-Augmented Generation - Deep Dive/6. RAG Challenges.mp4 16.5 MB
  • 12. Context & Memory Management for LLMs - Deep Dive/4. Summary.mp4 16.2 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/47. Setting a Default Value for an Attribute.mp4 15.9 MB
  • 01. Introduction/3. Course Structure.mp4 15.2 MB
  • 15. Vector Databases and Embeddings - Deep Dive/23. Summary.mp4 14.6 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/59. Resolving Path - Reading From a Subdirectory with Path.mp4 14.5 MB
  • 13. Logging in LLM Applications - Deep Dive/4. Summary.mp4 14.4 MB
  • 11. Ollama & Open-Source Models - Complete Guide/21. Chat Example with Streaming.mp4 14.0 MB
  • 15. Vector Databases and Embeddings - Deep Dive/1. Vector Databases and Embeddings for RAG Workflows - Introduction.mp4 13.2 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/57. Writing & Reading Files - Do Useful Tasks with Python - Do amazing things.mp4 12.6 MB
  • 02. Development Environment Setup/5. Install the Python Extension Pack for VS Code.mp4 12.1 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/44. Using the as as an Alias.mp4 10.9 MB
  • 01. Introduction/1. Introduction.mp4 10.8 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/37. Positional and Named Arguments.mp4 10.4 MB
  • 15. Vector Databases and Embeddings - Deep Dive/11. Vector and Traditional Databases - Summary.mp4 10.4 MB
  • 16. HANDS-ON - RAG PDF Workflow - Build RAG Workflows Deep Dive/1. Building a RAG Pipeline - Overview.mp4 10.0 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/22. Checking for Inequalities.mp4 9.9 MB
  • 04. Do You Know Python/1. Python Deep Dive - Introduction and Overview.mp4 9.6 MB
  • 02. Development Environment Setup/3. Install Python on MAC - for MAC USERS.mp4 9.5 MB
  • 02. Development Environment Setup/1. Development Environment Setup - Overview.mp4 8.4 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/33. Removing all Instances of Specific Values from a List.mp4 7.9 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/1. What is Python and Where It's Used.mp4 7.9 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/2. Python Compilation & Interpretation Process.mp4 7.4 MB
  • 02. Development Environment Setup/4. Download Visual Studio Code.mp4 5.1 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/15. Important Code Organization Note.mp4 4.1 MB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/21. AND OR Logical Operators.mp4 2.1 MB
  • 11. Ollama & Open-Source Models - Complete Guide/2. 2024-10-18_20-59-47-a51a04c268e98835e7d5b9e74f9dc600.png 130.6 kB
  • 19. HANDS-ON - Building LLM Applications with LangChain/9. Voice Assistant RAG System - Walkthrough and Demo.vtt 34.1 kB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/13. Hands-on - Re-ranking Implementation with Cohere - Full Implementation.vtt 29.0 kB
  • 23. Fine-tuning LLMs/7. HANDS-ON - Fine-tuning an OpenAI Model - Full Walkthrough.vtt 27.2 kB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/14. Hands-on Full RAG System QA Bot Using LangChain.vtt 26.8 kB
  • 19. HANDS-ON - Building LLM Applications with LangChain/2. News Summarizer - Full Implementation.vtt 26.7 kB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/7. Hands-on- Setting up the Workflow and Code Walkthrough.vtt 25.6 kB
  • 12. Context & Memory Management for LLMs - Deep Dive/3. HANDS-ON - Adding Memory and Context to Chatbox.vtt 24.8 kB
  • 13. Logging in LLM Applications - Deep Dive/3. HANDS-ON - Chatbot with Logging.vtt 22.1 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/72. Building an Image Watermarker in Python - Part 1.vtt 21.8 kB
  • 16. HANDS-ON - RAG PDF Workflow - Build RAG Workflows Deep Dive/4. HANDS-ON - Building and Showcasing the RAG Workflow.vtt 20.8 kB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/4. Hands-on - Training Models - LoRA and PEFT.vtt 20.8 kB
  • 19. HANDS-ON - Building LLM Applications with LangChain/5. Youtube Video Summarizer Class Setup and Walkthrough.vtt 20.0 kB
  • 17. HANDS-ON - Build a PDF RAG System with Text Chunking/4. Testing the PDF RAG System.vtt 17.4 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/68. Hands-on - File Organizer.vtt 16.8 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/26. Adding Nodes and Edges and Running our Agent.vtt 16.1 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/7. Passing Complex Queries Through the Agent.vtt 15.9 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/15. Building a Simple Agent with LangChain.vtt 14.9 kB
  • 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/6. HANDS-ON - Hands-on Enhanced Transformers LLM.vtt 14.7 kB
  • 17. HANDS-ON - Build a PDF RAG System with Text Chunking/3. Setting up the SimpleRAGSystem Class and Methods.vtt 14.7 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/77. Plotting a Graph with CSV Data.vtt 14.5 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/25. Creating All Nodes - Functions.vtt 14.5 kB
  • 17. HANDS-ON - Build a PDF RAG System with Text Chunking/2. PDF and Chunk Processing and Chunk Overlap - Deep Dive.vtt 14.4 kB
  • 06. Deep and Machine Learning Deep Dive/2. Deep Learning Key Aspects.vtt 14.4 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/5. Build our First AI Agent - Creating the Agent Class and Prompt.vtt 14.4 kB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/8. Hands-on Embeddings and Retriever with FAISS VectorStore.vtt 14.3 kB
  • 11. Ollama & Open-Source Models - Complete Guide/17. Ollama Model Running Under Msty App.vtt 14.0 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/73. Generating the Watermarked Images.vtt 14.0 kB
  • 15. Vector Databases and Embeddings - Deep Dive/4. Why Vector Databases.vtt 14.0 kB
  • 19. HANDS-ON - Building LLM Applications with LangChain/6. Youtube Video Summarizer Q&A - Testing the Workflow.vtt 13.9 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/49. Inheritance - Create an Ebook - Child Class.vtt 13.8 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/8. First Agent - Using a Loop to Automate our Agent.vtt 13.5 kB
  • 15. Vector Databases and Embeddings - Deep Dive/16. Creating a ChromaDB and Adding Documents and Querying.vtt 13.4 kB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/6. Creating an API Service to Interface with Our Fine-tuned Models.vtt 13.3 kB
  • 15. Vector Databases and Embeddings - Deep Dive/19. Chroma Vector Database - Persisting Data and Saving.vtt 13.3 kB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/3. LangChain Setup and ChatModel.vtt 13.2 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/45. Classes and OOP - Object Oriented Programming - The init and str methods.vtt 12.9 kB
  • 06. Deep and Machine Learning Deep Dive/3. Deep Neural Network Dissection - Full Dive with Analogies.vtt 12.7 kB
  • 16. HANDS-ON - RAG PDF Workflow - Build RAG Workflows Deep Dive/5. HANDS-ON - RAG Workflow with UI - Streamlit.vtt 12.6 kB
  • 12. Context & Memory Management for LLMs - Deep Dive/2. What is Context and Memory Management - Deep Dive.vtt 12.6 kB
  • 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/5. HANDS-ON - Create a Simple LLM from the Transformers Library - Simple.vtt 12.6 kB
  • 21. Multimodal RAG - Deep Dive/9. Finish the Multimodal Search System.vtt 12.5 kB
  • 06. Deep and Machine Learning Deep Dive/1. Deep and Machine Learning Deep Dive - Overview and Breakdown.vtt 12.4 kB
  • 16. HANDS-ON - RAG PDF Workflow - Build RAG Workflows Deep Dive/3. Setting up the Embedding Model Class.vtt 11.9 kB
  • 21. Multimodal RAG - Deep Dive/8. HANDS-on Multimodal Search System setup - Create Embeddings from Images.vtt 11.7 kB
  • 12. Context & Memory Management for LLMs - Deep Dive/1. HANDS-ON - Context and Memory Management Overview.vtt 11.5 kB
  • 21. Multimodal RAG - Deep Dive/14. Setting up the RAG Workflow.vtt 11.4 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/34. Hands-on Dream Travel Itinerary Program - Filling a Dictionary with User Input.vtt 11.3 kB
  • 11. Ollama & Open-Source Models - Complete Guide/6. HANDS-ON - Download and Setup Ollama and Llama3.2 Model.vtt 11.2 kB
  • 15. Vector Databases and Embeddings - Deep Dive/30. Generating Embeddings from Documents and Insert to Vector Database.vtt 11.1 kB
  • 15. Vector Databases and Embeddings - Deep Dive/21. Using OpenAIs Embedding API to Create Embedding in ChromaDB.vtt 11.0 kB
  • 15. Vector Databases and Embeddings - Deep Dive/7. Vector Databases & Embeddings - Full Overview.vtt 10.9 kB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/2. What is RAG and Naive RAG Overview and Pitfalls - Motivation.vtt 10.8 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/20. Adding Memory to Our Agent State.vtt 10.8 kB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/9. Full LoRA Workflow - Train and Chat with Fine-tuned Models.vtt 10.6 kB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/5. Running LoRA Model Fine-tuning and Testing.vtt 10.5 kB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/4. Advanced Prompting Techniques and Challenges.vtt 10.5 kB
  • 15. Vector Databases and Embeddings - Deep Dive/29. Loading all Documents.vtt 10.5 kB
  • 15. Vector Databases and Embeddings - Deep Dive/24. Vector Similarity Deep Dive - Cosine Similarity.vtt 10.4 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/6. First AI Agent - Running our First Agent and Seeing the Results.vtt 10.4 kB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/8. Query Expansion Full RAG Workflow.vtt 10.4 kB
  • 10. Prompt Engineering - Communicating with LLMs - Deep Dive/2. Prompt Engineering and Types - Why it Matters.vtt 10.4 kB
  • 15. Vector Databases and Embeddings - Deep Dive/12. The Top 5 Vector Databases - Overview.vtt 10.4 kB
  • 21. Multimodal RAG - Deep Dive/4. Multimodal RAG - Overview & Motivation and Benefits - How it Works.vtt 10.3 kB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/7. Hands-on Text Splitting and Cleaning.vtt 10.3 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/32. Hands-on - Quiz Game.vtt 10.2 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/52. The Object Class - Overview.vtt 10.2 kB
  • 15. Vector Databases and Embeddings - Deep Dive/15. Chroma Database workflow.vtt 9.9 kB
  • 01. Introduction/2. DEMO - What You'll Build in this Course.vtt 9.9 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/27. Adding a GUI to the Agent with Streamlit.vtt 9.8 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/67. Hands-on - Writing and Reading - Countries to JSON file.vtt 9.7 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/65. Custom Exception Creation and handling.vtt 9.6 kB
  • 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/2. The Transformer Architecture - Fundamentals.vtt 9.5 kB
  • 09. OpenAI Models and Setup/3. HANDS-ON - Making our First Call to OpenAI Model.vtt 9.5 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/31. While Loops & Simple Quit Program.vtt 9.5 kB
  • 23. Fine-tuning LLMs/2. Fine-tuning Techniques - Overview.vtt 9.4 kB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/7. Testing our LoRA Model API Endpoint.vtt 9.3 kB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/5. Hands-on - Query Expansion with Multiple Queries - Generate Multiple Queries.vtt 9.2 kB
  • 11. Ollama & Open-Source Models - Complete Guide/12. Summarization and Sentiment Analysis & Customizing Our Model.vtt 9.1 kB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/4. Hands-on - LangChain ChatPromptTemplates.vtt 9.1 kB
  • 15. Vector Databases and Embeddings - Deep Dive/20. Creating an OpenAI Embeddings - Raw without Chroma.vtt 9.0 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/8. Introduction to Lists - Accessing and Modifying Them.vtt 9.0 kB
  • 11. Ollama & Open-Source Models - Complete Guide/7. Ollama Models Page - Overview.vtt 9.0 kB
  • 15. Vector Databases and Embeddings - Deep Dive/32. Using OpenAI LLM to Generate Response - Full Workflow.vtt 8.9 kB
  • 21. Multimodal RAG - Deep Dive/15. Putting it all Together and Testing the Multimodal Recommender RAG System.vtt 8.9 kB
  • 08. LLMs (Large Language Models) - Fundamentals - A Deep Dive/1. LLMs - Overview.vtt 8.9 kB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/13. Hands-on - Simple RAG System with Chat and LangChain Chains.vtt 8.8 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/70. Setting up Virtual Environment and Installing a Package.vtt 8.8 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/17. Adding Tools to our Basic LangGraph Agent.vtt 8.6 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/1. AI Agents Deep Dive - A Full Overview.vtt 8.6 kB
  • 06. Deep and Machine Learning Deep Dive/6. Activation Functions - Deep Dive with Analogies.vtt 8.6 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/66. JSON - Reading and Writing to a JSON File.vtt 8.5 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/27. Nested Dictionaries and Looping Through Them.vtt 8.5 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/29. User Input and While Loops - User Input - Introduction.vtt 8.2 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/18. Branching - If Statements and Booleans.vtt 8.2 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/43. Introduction to Modules - Importing Specific functions from a Module.vtt 8.1 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/18. Adding tools to the Agent - Part 1.vtt 8.1 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/54. Random Module - Random Fruit Hands-on.vtt 8.1 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/56. Using Datetime Module.vtt 8.0 kB
  • 22. AI Agents & Agentic Workflows - Deep Dive/24. Agent State and Prompts Setup.vtt 8.0 kB
  • 18. LLM Tools and Frameworks - LangChain Deep Dive/12. Hands-on LangChain Chains.vtt 7.8 kB
  • 15. Vector Databases and Embeddings - Deep Dive/31. Getting the Relevant Chunks when Given a Query.vtt 7.7 kB
  • 24. Fine-Tuning Technique - LoRA Deep Dive/8. Chatting with LoRA Fine-tuned Models.vtt 7.7 kB
  • 15. Vector Databases and Embeddings - Deep Dive/6. Traditional vs. Vector Databases - Limitations and challenges.vtt 7.6 kB
  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/10. Sorting a List and Getting a List Length.vtt 7.6 kB
  • 20. Advanced RAG Techniques - Naive vs Advanced RAG Techniques/3. Deep Dive into Each Naive RAG Drawbacks.vtt 7.5 kB
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  • 05. OPTIONAL - Python Deep Dive - Master Python Fundamentals/4. Declaring Variables in Python.vtt 5.8 kB
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