Last Thursday I realized something:
I didn’t write any post with recent news since January 12th.
✅ Good thing: you’ll read the ones that caught my attention.
✖️ Bad thing: you’ll read the ones that caught my attention.
I mean, there’s a lot of stuff to cover lately, and that’s why you also receive now an edition of Feasible on Thursdays.
Today we’ll see AI agents, LLMs, and whether we can automate maths with AI. Be ready because this one will be intense. From more specific to more general use cases.
As we say in Spain… Vamos al turrón 🪂
🤖 Optimization modeling, the AI way
Just in case you missed it, AI Agents are a paradigm in which you can coordinate LLMs for better accuracy in their responses.
But it’s better if you read about them in deep from other, more reliable sources than me.
The first one is Chip Huyen. She explains agents in an easy-to-digest way, I cannot recommend more her Agents post.
Also Google released a white paper explaining agents in a 42-page PDF. For some reason you cannot access the original PDF, but here you can find the one submitted to kaggle.
Now that we know what agents are, their skills, how you can leverage them for your own usage… How can you use them without spending time in writing lines of code?
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