Datalab released OmniExtractBench, an open benchmark that scores structured extraction from PDFs by comparing predicted JSON fields to gold using an auditable deterministic scorer. The benchmark pools 620 documents from 4 existing extraction suites and packages a PyPI scorer (omni-extract-bench v0.1.7) under Apache 2.0. Vendors’ extraction leaderboards become more comparable and easier to audit because scoring is transparent, content-based for table row alignment, and rules drop null/empty-field padding that can otherwise inflate results.
Cloudflare released two decision models, Clef and Clef-flash, hosted on Workers AI, and positioned them as structured, probability-based alternatives to more open-ended LLMs. Clef classifies rendered website domains in 2.2s in Cloudflare’s Threat Intelligence workflow. The models are API-compatible, offered as open source on Hugging Face under Apache 2.0, and Cloudflare is also adding a reinforcement-learning fine-tuning service to adapt Clef to customer use cases.
AWS Strands Labs released Strands Decider 2B, an open-source decision model that reads a state and typed questions and outputs an option choice, a yes/no probability, or a rubric score (no text generation). It has 1.9 billion parameters and runs with a reported 115 ms median latency on an RTX 3090. The release includes Apache-2.0 weights on Hugging Face plus a pip-installable CLI and local HTTP server, with self-hosted deployment supported but no hosted inference providers yet.
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