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Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0 cover image

Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0

NOTE

Signal Grows Knowledge

A curriculum facilitates learning by providing environments that range from simpler to more complex tasks, enhancing the agent's ability to succeed and earn rewards. This increased success rate correlates with receiving more training signals, which optimizes learning. However, pure reinforcement learning struggles with planning and reasoning, limiting agents' capabilities to perform high-level tasks consistently. Users require more control over agents than what pure reinforcement learning offers, prompting exploration into integrating reasoning mechanisms, particularly through language.

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