Cohere’s Post

We’re excited to launch Command R+, a state-of-the-art RAG-optimized large language model (LLM) designed to tackle enterprise-grade workloads. We’re also proud to announce a new collaboration with Microsoft Azure where our latest models will be available first starting today and on other cloud platforms in the coming weeks to help accelerate enterprise AI adoption. Command R+ joins our R-series of scalable LLMs focused on balancing high efficiency with unparalleled accuracy, enabling businesses to move beyond proof-of-concept, and into production with AI. Our latest model excels at key business-critical capabilities like advanced Retrieval Augmented Generation (RAG) with citation to reduce hallucinations, multilingual coverage in 10 key languages to support global business operations, and Tool Use to automate sophisticated business processes. We achieve this while providing the same commitment to data privacy and security that we’re known for. Read more: https://lnkd.in/edwE3nTJ

Cohere now officially supports Java! Check out this short video from Cohere's Member of Technical Staff Billy Trend to help you get started. You can start with gradle by adding `implementation 'com.cohere:cohere-java:+'` to your `build.gradle`, or use any Java IDE or build tool. GitHub repository: https://lnkd.in/eyx8nreJ. We’re excited to work with Fern (YC W23) to produce an always-up-to-date, well-documented Java SDK. Stay tuned for more language support in the coming weeks.

Fine-tuning is now available for Command R, our state-of-the-art scalable LLM built to handle enterprise-grade workloads!  Tailor-made for your business needs, Command R with fine-tuning unlocks top-tier performance for production scenarios at a fraction of the cost compared to larger models. Companies can see significant improvements in throughput, latency, and up to 15x less cost. Our model excels in crucial business tasks like meeting summarization and deep research analysis, especially in data-dense sectors like finance and R&D. Explore how Command R can be customized to your unique requirements on our platform and Amazon Web Services (AWS) Sagemaker https://lnkd.in/eYBckS2r  

London, thank you for coming out to Build Day! Our participants blew us away with their creative solutions, from web automation to discharge summaries with accurate billing with Command R. Now, we can’t wait to see these demos come to life and make a real impact. Register for our last event on May 10 in San Francisco: https://lnkd.in/dkmPs6cM

We're thrilled to share our latest blog post featuring an exclusive interview with Conor Grennan, the trailblazer bringing the potential of large language models (LLMs) into the corporate world. As the newly appointed Chief AI Architect at NYU Stern School of Business, Conor's unique path from literature major to leading AI expert offers invaluable insights for any business looking to navigate the AI landscape. In our conversation, Conor sheds light on: - Human-First Approach: How understanding human behavior and mindset can dramatically enhance the integration and effectiveness of AI tools in everyday business operations. - Practical Strategies: Conor's focus isn't just on theoretical knowledge but on actionable strategies that help teams truly engage with and leverage AI technology. - Influencing Tech Adoption: Learn about how the brain impacts how we interact with AI and why changing hearts and minds is crucial for tech adoption. Whether you're a business leader, a developer, or an AI enthusiast, this interview is packed with thought-provoking perspectives and tips for embracing AI to its fullest. Read the full interview https://lnkd.in/ezb-KsBQ and find out why Conor believes "English majors are gonna rule the future of AI!"

Last chance to secure your spot at Cohere Build Day London! Join us on May 8 and discover how Command R and R+ can revolutionize your operations, making your enterprise even more efficient. Register now. https://lnkd.in/gvmhvqU3

Thank you for joining us today for Cohere Build Day, Toronto you did not disappoint! Together, we brought the power of Command R and R+ into action, building 27 knowledge agents in three hours. London, you’re up next. See you on May 8th!