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LangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents
Training Data
Custom Cognitive Architectures and the Future of AI Models
Custom and complicated cognitive architectures, such as planning steps and reflection loops, may become less prevalent as generic planning and reflection are integrated into AI models. While AI models can handle general agentic reasoning, domain-specific reasoning may require human intervention due to the limitations of building a single general model.
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