RAG vs. Function Calling - Large Language Models | CodiLime

Описание: Katarzyna Hewelt, a Data Scientist at CodiLime, invites you on the journey of the capabilities and applications of Retrieval-Augmented Generation (RAG) and function calling. In detail, she explains how these techniques improve LLMs due to their capability to access and incorporate current and specific data. Katarzyna gives a step-by-step understanding of how both methods work, how to implement them, and when it is appropriate to use each of them. This video is especially useful for anyone who wants to get an overview of new AI technologies and how they can be used to enhance the functionality of an application.

GPT-4o model: https://platform.openai.com/docs/mode...

00:00 Introduction to RAG and Function Calling
00:27 What is a Large Language Model (LLM)?
00:57 Uses and Limitations of LLMs
01:24 Enhancing LLMs with RAG and Function Calling
02:04 Support Chatbot with RAG
02:40 Understanding RAG Architecture
04:09 RAG in Action: Code Example
08:12 Introduction to Function Calling
10:22 Connecting LLM with Salesforce
13:45 When to Use RAG vs. Function Calling
14:51 Combining RAG and Function Calling for Optimal Results
15:32 Conclusion and Summary

You can find the code under this link: https://github.com/codilime/rag-vs-fc