GitHub - KwaiKEG/KwaiAgents: A generalized information-seeking agent system with Large Language Models (LLMs).
Discover #KwaiAgents - a powerful open-source tool from KwaiKEG that leverages Large Language Models for information-seeking agent systems. With features like KAgentSys-Lite and KAgentLMs, it's a game-changer in AI research and development! 🚀🤖 #AI #GitHub #LLMs
- KwaiAgents is open-source work from KwaiKEG featuring KAgentSys-Lite, KAgentLMs, KAgentInstruct, and KAgentBench.
- KAgentSys-Lite is a scaled-down version of KAgentSys with differences in tools, memory mechanisms, performance, and a distinct codebase.
- KAgentLMs are large language models with agent capabilities like planning, reflection, and tool-use.
- KAgentInstruct offers over 200k Agent-related instructions for finetuning data.
- KAgentBench provides over 3,000 human-edited evaluation data for testing Agent capabilities.
- Evaluation results show the performance of various models in different dimensions like planning, tool-use, and reflection.
- Instructions are given on deploying KAgentLMs using vLLM with FastChat or Llama.cpp for GPU or CPU serving.
- Usage guidelines for KAgentSys-Lite include setting environment variables and querying with specified parameters.
- Custom tools usage and KAgentBench evaluation steps are outlined for assessing agent capabilities.
- Citation details for KwaiAgents in research papers are provided.
- KwaiAgents include significant features such as AGI, autonomous-agents, and large language models.
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