AIBullisharXiv – CS AI · May 47/10
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ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering
Researchers introduce ML-Agent, a 7B parameter LLM trained through reinforcement learning to perform autonomous machine learning engineering tasks. The approach achieves performance comparable to much larger proprietary models like GPT-5 while requiring significantly lower computational resources, demonstrating that smaller models can effectively learn from execution trajectories rather than relying solely on prompting.
🧠 GPT-5