AI Agents in Action: Solving Real-World Problems with AutoGen Workflows

Описание: Explore how you can build AI apps reliable using AUTOGEN Workflows.

AutoGen helps simplify the process of creating agentic software. In this video we will create custom workflows/state machines using AutoGen with a Local Model to help me organize my life.

In this video we will:
1] Write some python code to make custom workflows using AutoGen.
2] Understand the role of GroupChat and GroupChatManager in AutoGen.
3] Override the default classes to implement custom functionality.

--------------------------------
References:
1] The Code: https://github.com/YourTechBud/ytb-pr...
2] AutoGen: https://microsoft.github.io/autogen/
3] Model Used: https://huggingface.co/turboderp/Llam...
4] Backend Server: https://github.com/YourTechBud/inferix

--------------------------------
Related Videos:
1] AutoGen DeepDive: Building Conversational Agents for Kubernetes! -    • AutoGen DeepDive: Building Conversational ...  
2] Why You Shouldn't Use K8s Autoscaling? -    • Why You Shouldn't Use K8s Autoscaling?!!  

--------------------------------
Chapters:
00:00 - Introduction
00:54 - Power of Conversations
01:38 - Flow Control
06:00 - Controlling the Conversation History
09:13 - See it in action


#AutoGen #Tutorial #LLM #GenAI