Skip to content
View original post on X: elvis
Published
34/100

Sage2 extraction model returns structured fields with source text and probabilities

AIElvis Saravia says Sage2 is a system-one extraction model that returns structured values from user-described fields, with exact source text and a probability per result. He says it outperforms Cloudflare's Clairic and is useful for processing research papers.
elvisVerified on X
@omarsar0
View on X

As a dev, I am bullish on this new type of system-one extraction model.

It's great for evidence-based extraction and perfectly compliment decision models like Jev.

With Sage 2, you describe the fields you need, and it returns structured values with the exact source text and a probability for each result.

It seems to outperform Cloudflare's Clairic, one of the stronger extraction models I have tried.

We've been experimenting with extraction models, and I'm excited about applications like processing and analyzing research papers.

Worth checking out.

Levanto Labs@levantolabs
Software can now understand human language and act on it, in real time. Introducing Sage2 - Extract: natural language in, structured data out. 166x cheaper than Opus 5.5, beats @Cloudflare's Clairic - Decide: the first decision model with streaming. 3x faster, because it reads the context as it grows. Sage2 is a new primitive for developers. Get 20M tokens free 👇 Also available on @near_ai and, for agents, via @mpp with @Stripe cards and @Tempo stables.
View quoted post on X
Source details

elvis · x.comPublished · added here

Original title: As a dev, I am bullish on this new type of system-one extraction model.

Topics

Model releasesProduct updatesEvals & benchmarks