AgentVerse's model-compatible system has three outstanding advantages:
- Full Link Support: complete coverage from cloud APIs (OpenAI/Azure) to local models (LLaMA/Vicuna) and support for vLLM accelerated inference
- Mixing capacity: Allow different intelligences to configure different models, e.g., let the planner use GPT-4 and the executor use LLaMA
- Seamless switching: By modifying the configuration file's
model_typecap (a poem)modelFields can be modeled without code changes
In terms of specific performance, the Humaneval benchmark test shows that the accuracy of code generation in multi-intelligent body collaboration mode is 17% higher than that of single intelligent body.The framework also optimizes the management interface of local models to support the development of the code generation through therun_local_model_server.shscript to quickly start the service.
This answer comes from the articleAgentVerse: An Open Source Framework for Deploying Multi-Intelligence Collaboration and SimulationThe
May not be reproduced without permission:AI productivity tools " What are AgentVerse's unique advantages in terms of model compatibility over similar multi-intelligence frameworks?
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