How do LLMs learn to reason from data? Are they ~retrieving the answers from parametric knowledge🦜? In our new preprint, we look at the pretraining data and find evidence against this: Procedural knowledge in pretraining drives LLM reasoning ⚙️🔢 🧵⬇️
Exciting news from the @Microsoft Ignite keynote today! Cohere Command R+ is a part of Azure AI Agent Service, set to revolutionize the way businesses automate their processes. Businesses can leverage Cohere's technology to build task-specific agents within Azure. Learn more:…
Super excited to take this next step with @Microsoft at Ignite where @satyanadella unveiled Azure AI Agents. @cohere's game-changing RAG capabilities allow enterprises to build fast, accurate agentic workflows harnessing their private data - now without leaving @MSFTCopilot…
Exciting news from the @Microsoft Ignite keynote today! Cohere Command R+ is a part of Azure AI Agent Service, set to revolutionize the way businesses automate their processes. Businesses can leverage Cohere's technology to build task-specific agents within Azure. Learn more:…
Incredibly honoured to see our work recognised as an outstanding paper. @magikarp_tokens dove deep into the dark depths of tokenisation on this one and fished up some very interesting insights. Be sure to catch him at #EMNLP2024 if you're around! 🎣 Thank you @emnlpmeeting ❤️
we designed custom @cohere x @opensesame_dev hockey jerseys for our hunger games style hack on 23rd. winning team will take these home + more 🤝 jersey design inspired by mixing cohere & opensesame colours w a custom hockey team logo 🇨🇦
I dream of a world where one doesn't have to promote free healthcare as a benefit, but until then >
We are looking forward to connecting with collaborators and community members at @emnlpmeeting in Miami! 😎 Here is where you will find the @Cohere and @CohereForAI teams throughout the conference!
Exciting news: Command R+ is one of @TIME’s Best Inventions of 2024! It was recognized for excelling in the areas that are most important to enterprises, like complex RAG, multi-step tool use, and strong multilingual capabilities.
🇯🇵🚀 Building Japan's AI future! Early-stage opportunity to develop enterprise-grade models in the world's 3rd largest economy. Takane was just the beginning - come shape what's next as a founding team member. fujitsu.com/global/about/r… @cohere @CohereForAI
Cohere が、日本でエンジニアを採用してるらしいです！！ これは稀有なチャンスでは！！
Small lab >
Very proud of what we have achieved, it is not every day a small lab can beat far more resourced organizations. :) I hope our insights will drive more progress in the multilingual space, and that this state-of-art is temporary since there is still plenty of work to do.
Today @CohereForAI and @cohere are releasing two new multilingual models spanning 23 popular languages. Across a range of use-cases, these models represent a new state-of-the-art. We're also releasing the weights (8B & 32B) on @huggingface
Introducing ✨Aya Expanse ✨ – an open-weights state-of-art family of models to help close the language gap with AI. Aya Expanse is both global and local. Driven by a multi-year commitment to multilingual research. cohere.com/research/aya
Our research lab, @CohereForAI released a new family of state-of-art multilingual AI models – the culmination of over two years of collaboration with researchers around the world and a series of technical breakthroughs to help close the language gap in AI!
Introducing ✨Aya Expanse ✨ – an open-weights state-of-art family of models to help close the language gap with AI. Aya Expanse is both global and local. Driven by a multi-year commitment to multilingual research. cohere.com/research/aya
But the most compelling piece is the performance for mixed-modal datasets where this is a 'zero to one' unlock in performance.
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