1 - Install Ollama (18.06 MB) 10 - Ollama Model Commands show (112.57 MB) 11 - Ollama Model Commands set clear savemodel and loadmodel (151.99 MB) 12 - Ollama Raw API Requests (162.5 MB) 13 - Load Uncesored Models for Banned Content Generation Only Educational Purpose (131.33 MB) 2 - Touch Base with Ollama (73.99 MB) 3 - Inspecting LLAMA 32 Model (34.5 MB) 4 - LLAMA 32 Benchmarking Overview (16.03 MB) 5 - What Type of Models are Available on Ollama (68 MB) 6 - Ollama Commands ollama server ollama show (51.64 MB) 7 - Ollama Commands ollama pull ollama list ollama rm (38.11 MB) 8 - Ollama Commands ollama cp ollama run ollama ps ollama stop (67.8 MB) 9 - Create and Run Ollama Model with Predefined Settings (132.81 MB) 76 - Introduction to Unstructured Data Loader (100.6 MB) 77 - Load PPTX Data with DataLoader (88.88 MB) 78 - Process PPTX data for LLM (92.4 MB) 79 - Generate Speaker Script for Your PPTX Presentation (84.7 MB) 80 - Loading and Parsing Excel Data for LLM (25.14 MB) 81 - Ask Questions from LLM for given Excel Data (15.53 MB) 82 - Load DOCX Document and Write Personalized Job Email (59.07 MB) 83 - Load YouTube Video Subtitles (67.45 MB) 84 - Load YouTube Video Subtitles in 10 Mins Chunks (22.45 MB) 85 - Generate YouTube Keywords from the Transcripts (53.32 MB) 86 - Introduction to RAG Project (27.37 MB) 87 - Introduction to FAISS and Chroma Vector Database (36.25 MB) 88 - Load All PDF Documents (45.58 MB) 89 - Recursive Text Splitter to Create Documents Chunk (99.25 MB) 90 - How Important Chunk Size Selection is (62.31 MB) 91 - Get OllamaEmbeddings (47.48 MB) 92 - Document Indexing in Vector Database (32.43 MB) 93 - How to Save and Search Vector Database (23.92 MB) 94 - Load Vector Database for RAG (82.14 MB) 95 - Get Vector Store as Retriever (44.26 MB) 96 - Exploring Similarity Search Types with Retriever (83.79 MB) 97 - Design RAG Prompt Template (53.59 MB) 98 - Build LLM RAG Chain (49.57 MB) 99 - Prompt Tuning and Generate Response from RAG Chain (31.26 MB) 100 - What is Tool Calling (67.55 MB) 101 - Available Search Tools at Langchain (27.98 MB) 102 - Create Your Custom Tools (23.61 MB) 103 - Bind tools with LLM (31.4 MB) 104 - Working with Tavily and DuckDuckGo Search Tools (50.83 MB) 105 - Working with Wikipedia and PubMed Tools (69.32 MB) 106 - Creating Tool Functions for InBuilt Tools (35.64 MB) 107 - Calling Tools with LLM (21.48 MB) 108 - Passing Tool Calling Result to LLM Part 1 (43.92 MB) 109 - Passing Tool Calling Result to LLM Part 2 (86.2 MB) 110 - How Agent Works (27.72 MB) 111 - Tools Preparation for Agent (71.08 MB) 112 - More About the Agent Working Process (31.77 MB) 113 - Selection of Prompt for Agent (61.03 MB) 114 - Agent in Action (83.38 MB) 115 - Create MySQL Connection with Local Server (56.83 MB) 116 - Get MySQL Execution Chain (64.12 MB) 117 - Correct Malformed MySQL Queries Using LLM (67.79 MB) 118 - MySQL Query Chain Execution (33.09 MB) 119 - MySQL Query Execution with Agents in LangGraph (126.95 MB) 14 - Langchain Introduction (93.9 MB) 15 - Lanchain Installation (105.98 MB) 16 - Langsmith Setup of LLM Observability (84.84 MB) 17 - Calling Your First Langchain Ollama API (75.04 MB) 18 - Generating Uncensored Content in Langchain Educational Purpose (91.89 MB) 19 - Trace LLM Input Output at Langsmith (87.78 MB) 20 - Going a lot Deeper in the Langchain (135.35 MB) 21 - Why We Need Prompt Template (31.13 MB) 22 - Type of Messages Needed for LLM (47.86 MB) 23 - Circle Back to ChatOllama (84.3 MB) 24 - Use Langchain Message Types with ChatOllama (80.41 MB) 25 - Langchain Prompt Templates (105.49 MB) 26 - Prompt Templates with ChatOllama (118.91 MB) 27 - Introduction to LCEL (72.65 MB) 28 - Create Your First LCEL Chain (106.24 MB) 29 - Adding StrOutputParser with Your Chain (115.16 MB) 30 - Chaining Runnables Chain Multiple Runnables (39.3 MB) 31 - Run Chains in Parallel Part 1 (76.49 MB) 32 - Run Chains in Parallel Part 2 (62.11 MB) 33 - How Chain Router Works (39.11 MB) 34 - Creating Independent Chains for Positive and Negative Reviews (37.75 MB) 35 - Route Your Answer Generation to Correct Chain (49.17 MB) 36 - What is RunnableLambda and RunnablePassthrough (33.7 MB) 37 - Make Your Custom Runnable Chain (53.32 MB) 38 - Create Custom Chain with chain Decorator (19.53 MB) 39 - What is Output Parsing (66.04 MB) 40 - What is Pydantic Parser (51.83 MB) 41 - Get Pydantic Parser Instruction (55.3 MB) 42 - Parse LLM Output Using Pydantic Parser (63.37 MB) 43 - Parsing with withstructuredoutput method (34.44 MB) 44 - JSON Output Parser (17.81 MB) 45 - CSV Output Parsing CommaSeparatedListOutputParser (28.39 MB) 46 - Datetime Output Parsing (41.62 MB) 47 - How to Save and Load Chat Message History Concept (75.5 MB) 48 - Simple Chain Setup (65.91 MB) 49 - Chat Message with History Part 1 (49.17 MB) 50 - Chat Message with History Part 2 (65.33 MB) 51 - Chat Message with History using MessagesPlaceholder (100.73 MB) 52 - Introduction (37.23 MB) 53 - Introduction To Streamlit and Our Chat Application (38.19 MB) 54 - Chat Bot Basic Code Setup (68.87 MB) 55 - Create Chat History in Streamlit Session State (48.71 MB) 56 - Create LLM Chat Input Area with Streamlit (71.97 MB) 57 - Update Historical Chat on Streamlit UI (50.88 MB) 58 - Complete Your Own Chat Bot Application (22.66 MB) 59 - Stream Output of Your Chat Bot like ChatGPT (33.84 MB) 60 - Introduction to PDF Document Loaders (86.61 MB) 61 - Load Single PDF Document with PyMuPDFLoader (67.06 MB) 62 - Load All PDFs from a Directory (64.46 MB) 63 - Combine All PDFs Data as Context Text (50.26 MB) 64 - How Many Tokens are There in Contex Data (42.96 MB) 65 - Make Question Answer Prompt Templates and Chain (31.02 MB) 66 - Ask Questions from Your PDF Documents (63.07 MB) 67 - Summarize Your PDF Documents (40.72 MB) 68 - Project 3 Generate Detailed Structured Report from the PDF Documents (66.21 MB) 69 - Introduction to Webpage Loaders (94.53 MB) 70 - Load Unstructured Stock Market Data (46.07 MB) 71 - Make LLM QnA Script (27.44 MB) 72 - Catastrophic Forgetting of LLM (22.92 MB) 73 - Break Down Large Text Data Into Chunks (42.48 MB) 74 - Create Stock Market News Summary for Each Chunks (94.53 MB) 75 - Generate Final Stock Market Report (82.87 MB)