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T01. LLM agent orchestration and harness design
External research on how multiple language-model agents are planned, routed, and evaluated.
- T01-1Structural parallel
ReAct: Synergizing Reasoning and Acting in Language Models
- T01-2Structural parallel
Toolformer: Language Models Can Teach Themselves to Use Tools
- T01-3Structural parallel
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
- T01-9Structural parallel
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversations
- T01-10Structural parallel
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
- T01-11Structural parallel
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
- T01-15Structural parallel
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
From research to product use
Operating capabilities, pilots, and technologies in development are identified separately.
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