Extract Insights From Interview Transcripts Using LLMs Share: Download MP3 Similar Tracks 5 Levels Of LLM Summarizing: Novice to Expert Greg Kamradt The LangChain Cookbook - Beginner Guide To 7 Essential Concepts Greg Kamradt Model Context Protocol (MCP), clearly explained (why it matters) Greg Isenberg GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem AI Engineer Fine-tuning Large Language Models (LLMs) | w/ Example Code Shaw Talebi How to evaluate an LLM-powered RAG application automatically. Underfitted Kafka Deep Dive w/ a Ex-Meta Staff Engineer Hello Interview - SWE Interview Preparation The LangChain Cookbook Part 2 - Beginner Guide To 9 Use Cases Greg Kamradt AI Agents, Clearly Explained Jeff Su Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer freeCodeCamp.org Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning | BUILD 2024 Keynote Snowflake Inc. OpenAI + LangChain Wrote Me 100 Custom Sales Emails Greg Kamradt Are LLMs good anomaly detectors? - Chloé Caron Theodo UK "I want Llama3 to perform 10x with my private knowledge" - Local Agentic RAG w/ llama3 AI Jason The challenges in using LLM-as-a-Judge - Sourabh Agrawal | Vector Space Talk #013 Qdrant - Vector Database & Search Engine LangChain Explained in 13 Minutes | QuickStart Tutorial for Beginners Rabbitmetrics Workaround OpenAI's Token Limit With Chain Types Greg Kamradt Reliable, fully local RAG agents with LLaMA3.2-3b LangChain Chat with SQL and Tabular Databases using LLM Agents (DON'T USE RAG!) Farzad Roozitalab (AI RoundTable) Using LangChain Output Parsers to get what you want out of LLMs Sam Witteveen
