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LLM token log probabilities enable compact classification responses

allanrbo.blogspot.com 7 min read Editor score 6/10

A prompt can constrain a classification answer to one token, then use API log probabilities to compare candidate labels. This can reduce generated output and offers a useful inference pattern for classification workloads.

What

A Jev-like wrapper uses LLM token probabilities for compact responses from text and vision models.

How

A request can limit generation to one token and return log probabilities for alternative tokens; the example sends webcam frames as base64 JPEGs and prints results.

Why it matters

This offers flexible, plain-language classification of text or images without requiring a specialized vision model.

Read on allanrbo.blogspot.com → Hacker News · 42 comments

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