
AI framework tackles LLM agent instability
Researchers have introduced RAGEN, an AI framework designed to counter LLM agent instability when handling complex situations. Training these AI agents presents significant hurdles, particularly when decisions span multiple steps and involve unpredictable feedback from the environment. While reinforcement learning (RL) has shown promise in static tasks like solving maths problems or generating code, its […]
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