AutoGen New Updates - A New Way to Build and Assess Agents

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AI Summary

Autogen Team Updates Summary

Update 1: Society of Mind Notebook

• Introduction
  • New notebook by Autogen team: Society of Mind.
  • Demonstrates an agent running a group chat as an internal monologue but appears as a single agent externally.
• Advantages
  1. Hierarchy of Agents: Simplifies complexity by hiding it as inner monologues.
  2. Consistent Answer Extraction: Clarifies the final response from lengthy group chats.
  3. Error Recovery: Uses try-catch blocks to prevent errors and adjust responses.
• Implementation
  • Does not cover installation, focuses on application and implications.
  • Example: Assistant agent and user proxy agent work together to solve a problem, wrapped in a Society of Mind agent.
  • The Society of Mind agent presents a concise, standalone message as the final output.

Update 2: Autogen Bench

• Introduction
  • Autogen Bench is a tool for evaluating agents and workflows, based on the Agent Eval framework.
• Core Design Principles
  1. Repetition: Accounts for variance in agent performance due to multiple runs.
  2. Isolation: Each task runs in its own Docker container to prevent ordering effects.
  3. Instrumentation: Logs everything and computes metrics for in-depth analysis.
• Usage
  • Uses Human Eval benchmark to assess LLMs’ ability to generate correct and efficient code.
  • Provides detailed results and summary statistics for each task and run.
• Conclusion
  • Autogen Bench is crucial for benchmarking and optimizing agent frameworks, ensuring progress is data-driven and measurable.

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