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LangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents
Training Data
Enforcing Long Term Plans and Reflection in Model Training
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Enforcing long term plans ensures that the model completes each step before moving on, rather than abandoning the plan prematurely. Reflection involves evaluating if the model performed its task effectively, considering factors like the accuracy of the answer generated. Some cognitive architectures explicitly include reflection as a step to ensure correct actions. Planning and reasoning are common cognitive architectures, with potential for further integration into model training.
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