Global AI News Aggregator
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We worked with @RWSGroup to fine-tune our Command translation model, which improved language and cultural expertise. Now, that model is the “brain” that powers RWS’ Language Weaver AI translation solution. https://t.co/0xCCwG3EU0
— Cohere (@cohere) 10 avril 2026
We worked with @RWSGroup to fine-tune our Command translation model, which improved language and cultural expertise. Now, that model is the “brain” that powers RWS’ Language Weaver AI translation solution.
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How can enterprises accelerate decision-making and improve efficiency? We're joining @Microsoft's Model Mondays on April 6th to discuss how AI can help you: 🌎 Drive real-world enterprise value 💡 Surface precise, verifiable insights 📌 Use Microsoft Azure and Cohere enterprise models to accelerate your AI journey
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Learn more: cohere.com/blog/ensemble-cohere-custom-healthcare-llm-for-rcm [Translated from EN to English]
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Cohere is excited to announce an expansion of our partnership with @EnsembleHP to develop the healthcare industry's first revenue cycle management (RCM)-native large language model. This fully custom model will be informed by RCM insights and purpose-built to manage the complex financial workflows that support healthcare operations. We look forward to continuing to apply Cohere technology to reduce administrative burden in industries where it matters most.
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Cohere Transcribe is setting a new standard for automatic speech recognition model accuracy in real world conditions – even with a noisy blender running. Try it out for yourself 👇https://t.co/cIHYqTVVyI https://t.co/yCdigM9U6W
— Cohere (@cohere) 28 mars 2026
Cohere Transcribe is setting a new standard for automatic speech recognition model accuracy in real world conditions – even with a noisy blender running. Try it out for yourself 👇 cohere.link/hpqiVWT Nick Frosst (@nickfrosst) @cohere transcribe Sota open source transcription model running in the browser 🙂 Weights on @huggingface link below — https://nitter.net/nickfrosst/status/2037914966305493286#m
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Learn more: cohere.com/blog/transcribe Download Cohere Transcribe: huggingface.co/CohereLabs/co… [Translated from EN to English]
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Our open-source speech-to-text model has secured the top spot for English language accuracy on HuggingFace’s Open ASR model leaderboard, achieving an impressive word error rate of just 5.42% and validated by human evaluation. We've also successfully achieved one of the strongest accuracy-speed ratios among speech models of a comparable size.
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"We're genuinely impressed with what Cohere has built with Transcribe. The speed is exceptional – turning minutes of audio into usable transcripts in seconds – and it immediately unlocks new possibilities for real-time products and workflows," said Paige Dickie, VP, Radical Ventures. [Translated from EN to English]
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This is Cohere’s first speech-to-text model release and a huge step towards our goal of delivering enterprise speech intelligence into North, Cohere’s agentic AI orchestration platform.