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Tencent WeVisOne-VL Unifies Detection, OCR, Segmentation and Matting

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Tencent’s WeChat Vision team has released WeVisOne-VL, an open vision language model in 2B and 4B sizes. The WeVisOne-VL vision language model handles detection, referring, counting, pointing, OCR, segmentation and alpha matting in one model. Pixel outputs come from a 9.6M-parameter decoder, so no separate SAM is needed. It also answers “None” when a queried

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A Developer’s Guide to OmniParseBench: Leaderboard Benchmarks and OCR Testing

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In this tutorial, we implement OmniParseBench, Datalab’s open benchmark for document parsers, which grades a parser’s output with 16,288 small pass-or-fail tests across 2,937 pages, from scanned forms and handwriting to arXiv math and dense tables. Rather than trust the leaderboard, we rebuild it from the verdicts Datalab released for 27 parsers, after feeding the

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NVIDIA Open Sources Run:ai Under Apache 2.0 for Kubernetes GPU Orchestration

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NVIDIA has released the full NVIDIA Run:ai platform as open source software. The source code ships under the Apache 2.0 license on GitHub. NVIDIA Run:ai open source puts production GPU scheduling, quotas and workload management in developers’ hands. The release, makes Run:ai part of the NVIDIA DSX AI Factory platform. Platform teams can now inspect,

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Meet Kyutai REKI: The 2.4B VLA Model Bringing Efficient Memory to Robot Manipulation

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Kyutai, with Inria and École des Ponts, has released REKI, a 2.4B vision-language-action model (VLA) for robot manipulation. The REKI vision-language-action model is pretrained only on public data. It also carries a cheap memory of its recent past. On three out-of-distribution benchmarks, only models about twice its size beat it. All weights are live on

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Datalab Releases OmniParseBench: An Open OCR Benchmark With 16,288 Pass/Fail Tests to Audit OCR Parsers

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Datalab has released OmniParseBench, an open OCR benchmark for document parsers. It scores parsers with 16,288 yes/no tests on 2,937 pages from 2,343 documents. The pages span 92 languages. The dataset and code are public. It helps engineers answer a sharper question than a leaderboard does: which parser handles documents like mine? Datalab sells a

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Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4

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Google DeepMind has released EmbeddingGemma 2, an open model that embeds text, code, images, video and audio into one 768-dimensional space. It has 740M parameters, an 8K token context window and an Apache 2.0 license. It targets on-device search, classification and privacy-first RAG. This article analyzes, compares and showcase how EmbeddingGemma 2 fits in the

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The Story of Qwen: Alibaba’s AI Models From 7B to 2.4T

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In April 2023, Alibaba Cloud demoed a chatbot whose name roughly means ‘truth from a thousand questions.’ Three and a half years later, its descendant ships open weights with 2.4 trillion parameters. This is the story of how Qwen got there, release by release. window.addEventListener(‘message’,function(e){if(e.data&&e.data.mtpQwenTl&&e.data.h){var f=document.getElementById(‘mtp-qwen-tl-frame’);if(f&&e.source===f.contentWindow){f.style.height=e.data.h+’px’;}}}); Chapter 1 — 2023: a thousand questions Alibaba moved

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Datalab Introduces OmniExtractBench to Fix Bias and Opacity in Extraction Benchmarks

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Datalab has released OmniExtractBench, an open benchmark for structured document extraction. It tests how accurately a system fills a JSON schema from a PDF. The benchmark pools 620 documents from 4 existing benchmarks. One deterministic scorer grades all of them and explains each decision. The release lands while extraction vendors publish their own leaderboards. Datalab

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AWS Strands Labs Releases Strands Decider 2B: An Open Source Decision Model That Picks Options in About 115 ms

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AWS Strands Labs releases Strands Decider 2B, an open source decision model. It does not generate text. It reads a state and typed questions, then returns a choice, a yes/no probability, or a score with a calibrated confidence. The model has 1.9 billion parameters and runs locally on a CPU, a consumer GPU, or an

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Cloudflare Releases Clef and Clef-flash: Open-Weight Decision Models That Return Typed Probabilities Instead of Text

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Cloudflare has released Clef and Clef-flash, the first models trained by its Workers AI team. They are decision models, not chatbots. Each reads an input state and a schema of typed questions. It returns a probability for every allowed answer, with no free-form text. Both are open-weight under Apache 2.0 and compatible with TypeSafe AI’s

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