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tl;dr You can easily ask an LLM to return JSON results, and now working code, on your exact query and plug those to another system for automation.

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LLMs are usually accessible through easy-to-use API which can be used in an automated system without human in the loop. Larger scale and parallel actions with this method become far more plausible than traditional means.

Text-to-action capabilities are powerful and getting increasingly more so as models improve and more people learn to use them to the their full potential.



Okay? And? What does that have to do with anything. I thought the number one rule of these things is to not trust their output?

If you are automatically formulating some chemical based on JSON results from ChatGPT and your building blows up… that is kind of on you.




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