Alibaba’s AgentEvolver lifts model performance in tool use by ~30% using synthetic, auto-generated tasks
via github.com
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Researchers at Alibaba’s Tongyi Lab have developed a new framework for self-evolving agents that create their own training data by exploring their application environments. The framework, AgentEvolver, uses the knowledge and reasoning capabilities of large language models for autonomous learning, addressing the high costs and manual effort typically required to gather task-specific datasets. Experiments show […]