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Hey AI Enthusiasts! In this video, I dive into the amazing world of integrating Lang Chain with the OpenAI Assistants API to create ...

Intro to function calling → https://goo.gle/3Cm13Gc Function calling tutorial → https://goo.gle/40AUzgK Extract structured data ...

After completing this course, you'll have the skills to: -Generate structured output, including function calls, with LLMs; -Use LCEL to ...

What's the difference between RAG and MCP — and why does it matter when building AI agents? In this 1-minute explainer, ...

This video covers how to modify an agent runtime to force it to respond in a specific format using function calling. Notebook: ...

Using Langchain's Pydantic Open AI function calling converter with Llama 3 tokenizer with the new WizardLM2 open source LLM.

RAG wasn't replaced - it evolved into Agentic RAGs! What is RAG? - Retrieval: Gets relevant data from sources - Augmentation: ...

LLMs are powerful—but they hit a wall when it comes to real-world actions. That's where MCP (Model Context Protocol) comes in.

If you are making an AI app then you must have heard about Lang chain and llama index but why do we need these libraries ...

Ready to become a certified Architect on Cloud Pak? Register now and use code IBMTechYT20 for 20% off of your exam ...

In this pivotal update, we're thrilled to unveil some game-changing enhancements to Langtail, focusing on maximizing efficiency ...

Learn what Retrieval Augmented Generation (RAG) is and how it combines retrieval and generation to create accurate, ...

Function calling gave LLMs a huge boost in precision—but it's not the full solution. In this video, we explore how structured ...

Reference Monetize Your Chatbot by Using OpenAI's Function Calling and Langchain _ by Yeyu Huang.

A non-technical explanation of callback functions.