Table of Contents
1 Introduction to agents and their world
2 Harnessing the power of large language models
3 Engaging GPT assistants
4 Exploring multi-agent systems
5 Empowering agents with actions
6 Building autonomous assistants
7 Assembling and using an agent platform
8 Understanding agent memory and knowledge
9 Mastering agent prompts with prompt flow
10 Agent reasoning and evaluation
11 Agent planning and feedback
A Accessing OpenAI large language models
B Python development environment