Stanford CS329A Self-Improving AI Agents | Part 9 | Future Research Areas
AI 요약 Self-improving agents utilize test-time and train-time scaling, driven by verifiers and reinforcement learning to enhance reasoning in domains like math and coding. Achieving generalization requires diverse reasoning chains, often generated by multi-agent systems or iterative…
- LLMs (Large Language Models)
- Test-time Scaling
- Train-time Scaling
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