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LangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents
Training Data
Evolution of Cognitive Architectures and Challenges in AI Models
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The chapter explores the evolution of cognitive architectures in AI models such as reflection, planning, and reasoning, emphasizing the importance of techniques like Chain of Thought. It also delves into the challenges faced by AI agents in long-term planning and completion determination, proposing cognitive architectures and prompting techniques to enhance their abilities. The discussion includes the significance of user experience in ensuring the reliability of AI agents, suggesting strategies like transparent logs, rewind functions, and chat interfaces for effective agent-human interaction.
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