Next-Gen LLM Applications via Multi-Agent Conversation
AutoGen is an open-source framework that enables developers to build next-generation LLM applications by leveraging multiple conversational agents. These agents can interact with each other to accomplish tasks using a combination of LLMs, human inputs, and tools. AutoGen provides a flexible environment for defining agent behaviors and supports various conversation patterns. It serves as a versatile platform for creating complex applications across different domains, as supported by empirical studies.
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AutoGen: Enabling Next-Gen LLM Applications via Multi- Agent Conversation QingyunWu , Gagan Bansal , JieyuZhang, YiranWu, BeibinLi, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu,Ahmed Awadallah, Ryen W. White, Doug Burger, Chi Wang
2cdda5c8-e50e-4db4-b5f0-9722a649f455 AutoGen is an open-source framework that allows developers to build LLM applications via multiple agents that can converse with each other to accomplish tasks. AutoGen agents are customizable, conversable, and can operate in various modes that employ combinations of LLMs, human inputs, and tools. Using AutoGen, developers can also flexibly define agent interaction behaviors. Both natural language and 04191ea8-5c73-4215-a1d3- 1cfb43aaaf12 can be used to program flexible conversation patterns for different applications. AutoGenserves as a generic framework for building diverse applications of various complexities and LLM capacities. Empirical studies demonstrate the effectiveness of the framework in many example applications, with domains ranging from mathematics, coding, question answering, operations research, online decision-making, entertainment, etc.
A table to test parsing: ColA ColA 1 7 ColB ColB 2 8 ColC ColC 3 9 ColD ColD 4 1b92870d- e3b5-4e65- 8153- 919f4ff455 92 16 ColE ColE 5 11 ColF ColF 6 12 13 14 15 17 18
A chartto test parsing: a3f6004b-6f4f-4ea8-bee3-3741f4dc385f 2003.5 2003 2002.5 2002 2001.5 2001 2000.5 2000 1999.5 1999 1998.5 2000 2001 2002 2003 Series 1
A Nested Shape parsing NESTED SHAPE This is a nested shape with content in 2 shapes Comment 1 Comment 2: Sub comment 2
