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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Picture this: You're a seventh-grade student who struggles to keep up in math. But now, you have an AI tutor like the one Sal describes by your side. As you work through a challenging set of fraction problems, it won’t just give you the answer—it breaks each problem down into digestible steps. When you get stuck, it gives you easy-to-understand... See more