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Context Engineering for Agents - Lance Martin, LangChain

Latent Space: The AI Engineer Podcast

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Navigating Information Loss and Context Poisoning in AI Agents

This chapter delves into the debate surrounding information loss in context-driven AI models, particularly the implications of pruning mistakes versus retaining them for learning. It discusses context poisoning as a challenge to AI accuracy and shares insights on managing error logs to enhance AI learning and corrections.

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