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Cloudflare previews Clairic, a model for structured extraction from unstructured inputs

blog.cloudflare.com 19 min read Editor score 7/10

Cloudflare says Clairic can extract, compute, estimate, and forecast values, and claims better accuracy, latency, and cost than traditional LLMs; it is hosted on Workers AI, with open weights planned. The specialized model illustrates an applied alternative to general-purpose LLMs, though the excerpt gives no comparative measurements.

What

Clairic is Cloudflare’s first System One extraction model, designed to extract, compute, estimate and forecast values from unstructured inputs.

How

It answers in a single pass without reasoning or generating tokens, returning typed values, confidence scores and, for estimates, an 80% interval.

Why it matters

For structured-output tasks, the excerpt says Clairic typically responds in under a second and charges only for input, unlike slower reasoning LLM calls.

Read on blog.cloudflare.com → Hacker News · 4 comments

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