Summary
- Cognitive architecture in AI refers to how a system processes inputs and generates outputs.
- Different levels of autonomy in LLM applications correspond to various cognitive architectures.
- Choosing the right cognitive architecture depends on the specific needs of the application.
- Platforms like LangChain and LangGraph help developers experiment with and control cognitive architectures effectively.
