This training is designed for developers who want to master the concepts and techniques of developing with Large Language Models (LLMs). It covers techniques like Retrieval-Augmented Generation (RAG), creating and using agents, as well as other advanced LLM applications.
Training -Development with LLM: RAG, Agents, and More
Description de la formation
Objectifs de la formation
Master the concepts and techniques of Large Language Models (LLMs).
Use advanced tools and techniques for development with LLMs.
Build applications and agents based on LLMs.
Le programme de la formation
First Part: Introduction to LLMs
- Introduction and history of Large Language Models (LLMs) and artificial intelligence.
- Concepts of Natural Language Processing (NLP) and neural networks.
- Exploring proprietary and open-source LLMs.
Second Part: Spotlight on GPT
- Overview of different GPT versions.
- Using the API and configuration.
- Explanation of tokens and model limits.
- Comparison with other proprietary and open-source LLMs.
Third Part: Prompt Engineering for Developers
- Best practices and techniques for prompt engineering.
- Advanced prompting: CoT (Chain of Thought), ToT (Tree of Thought), etc.
- Using APIs for tasks like inference, text transformation, and expansion.
Fourth Part: Introduction to LangChain and Agent Logic
- Overview of LangChain and its features.
- Integrating AI models with LangChain.
- Building applications using LangChain components.
- Creating and using agents with LangChain.
INTER
INTRA
