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AI Agents in Action: Solving Real-World Problems with AutoGen Workflows 8 месяцев назад


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

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

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