In this video, I break down every topic you need to know to become an AutoGen master. Some topics include caching, best practices, enhanced inference, multi-agent setup, LLM daisy-chaining, a brand-new agent type called Teachable Agent, function calling, templating, and so much more.
Enjoy :)
Join My Newsletter for Regular AI Updates 👇🏼
[ Ссылка ]
Need AI Consulting? ✅
[ Ссылка ]
Rent a GPU (MassedCompute) 🚀
[ Ссылка ]
USE CODE "MatthewBerman" for 50% discount
My Links 🔗
👉🏻 Subscribe: [ Ссылка ]
👉🏻 Twitter: [ Ссылка ]
👉🏻 Discord: [ Ссылка ]
👉🏻 Patreon: [ Ссылка ]
Media/Sponsorship Inquiries 📈
[ Ссылка ]
Links:
Use RunPod - [ Ссылка ]
AutoGen Beginner Tutorial - [ Ссылка ]
AutoGen Intermediate Tutorial - [ Ссылка ]
AutoGen Fully Local - [ Ссылка ]
AutoGen 100% Open-Source - [ Ссылка ]
AutoGen - [ Ссылка ]
Chapters:
0:00 - Intro
0:56 - LLM Config
6:47 - Config List
10:54 - Caching
13:31 - Enhanced Inference
19:36 - Templating
21:20 - RAG Agents
26:20 - NEW Teachable Agent
31:35 - Using Docker
32:57 - Function Calling
36:07 - Agent Tool Learning
