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LLMs vs NLP libraries
People will prefer LLMs over NLP libraries like spaCy for three reasons
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Three forces are converging
Three forces are converging now:
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Verifier’s Law
Verifier’s law: The ease of training AI to solve a task is proportional to how verifiable the task is. All tasks that are possible to solve and easy to verify will be solved by AI. Source
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Why four LLMs?
Obviously, we want to use as few LLMs as possible for cost reasons Four LLMs is the smallest number which a) allows a supermajority b) allows human to act as the tiebreaker
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OpenRouter Response Schema vs Structured Outputs
You can see both mentioned in the supported parameters in OpenRouter model search page What is the difference? Response format makes a best effort to return valid JSON. In other words, you can expect JSON.parse to not throw an error. Structured Outputs, on the other hand, is a subset of response_format. It makes a best…
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