Embedding Model – The TechBriefs

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

In this tutorial, we implement OmniParseBench, Datalab’s open benchmark for document parsers, which grades a parser’s output with 16,288 small […]

NVIDIA has released the full NVIDIA Run:ai platform as open source software. The source code ships under the Apache 2.0 […]

Kyutai, with Inria and École des Ponts, has released REKI, a 2.4B vision-language-action model (VLA) for robot manipulation. The REKI […]

Datalab has released OmniParseBench, an open OCR benchmark for document parsers. It scores parsers with 16,288 yes/no tests on 2,937 […]

Google DeepMind has released EmbeddingGemma 2, an open model that embeds text, code, images, video and audio into one 768-dimensional […]

In April 2023, Alibaba Cloud demoed a chatbot whose name roughly means ‘truth from a thousand questions.’ Three and a […]

Datalab has released OmniExtractBench, an open benchmark for structured document extraction. It tests how accurately a system fills a JSON […]

AWS Strands Labs releases Strands Decider 2B, an open source decision model. It does not generate text. It reads a […]

Cloudflare has released Clef and Clef-flash, the first models trained by its Workers AI team. They are decision models, not […]

Cohere has released Embed 5, a new embedding model family. It targets enterprise search, RAG, and agentic retrieval. The model […]