LangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents
Training Data
Embrace the Spectrum of AI Reasoning
Over time, generic planning and reflection processes may be embedded within language models, leading to a diminished need for those capabilities. However, essential non-generic training and planning will persist, highlighting the importance of both general agentic reasoning and domain-specific reasoning. This suggests a shift in responsibility, where humans will manage planning while adapting interactions with models. As language models evolve, some aspects of planning and reflection will be gradually integrated, while still requiring human intervention for specialized tasks.
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