an agent in every cup

An agent can be thought of as a logical wrapper around an LLM, allowing us to add several features to our AI systems, primarily:

• Tool usage, such as calling APIs for info, executing code,


• Internal thoughts over multiple generation steps


• Ability to use various tools and reasoning steps to answer more complex queries.


• Parallel agents can go and complete

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If you've carefully analyzed a situation but something still feels wrong, that discomfort deserves attention. It might signal that your unconscious mind has recognized a pattern your conscious analysis missed. This is particularly true in uncertain and dynamic situations where, as Gigerenzer points out, logical analysis often falls short.

However—an... See more