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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I want to see more tools and fewer operated machines - we should be embracing our humanity instead of blindly improving efficiency. And that involves using our new AI technology in more deft ways than generating more content for humans to evaluate. I believe the real game changers are going to have very little to do with plain content generation.

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Generative AI is quite good at certain parts of the value chain of knowledge work, but thinks quite differently from humans. Anthropic, a company that focuses on understanding how AI works, has found that humans working side-by-side with expert AI assistants to perform various tasks produce superior performance compared to either the AI or a human

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