Cohere

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

As the SaaS industry embraces generative AI, we're not just seeing innovation—we're witnessing a reinvention of how we work. Just look at these projections: - GenAI could boost SaaS revenues by 10% within two years. - SaaS market could triple to a staggering $10 trillion by 2030.  - Time spent on routine tasks could be cut back by 70%. That's not just growth; it's a transformation. From personal AI assistants to advanced knowledge management and research tools, to dynamic content generation—SaaS is at the forefront and moving fast. What’s next? Agentic capabilities. Imagine new AI agents that harness entire tech stacks—from CRMs to ERP systems—delivering more integrated, comprehensive, and autonomous solutions. Our latest article by Cohere experts Robin Gainer, Itai Gerchikov, and David Stewart, explores real-world SaaS examples and the promising future of autonomous solutions. Enjoy! https://lnkd.in/eq4wjSDF

Join our upcoming Amazon Web Services (AWS) Generative AI Spotlight Series event to learn from Pradeep Prabhakaran, Cohere's Customer Solution Architect. He will showcase how Cohere LLMs enhance text summarization and content generation, seamlessly integrated with Amazon Bedrock and SageMaker for efficient model deployment at scale. Explore how Cohere Command R and R+, Embed, and Rerank models, enhanced by retrieval-augmented generation (RAG) capabilities, can improve efficiency and drive results across use cases and industries, including retail and finance. Join the conversation on May 1st at 1:00 p.m. ET: https://lnkd.in/gTHw8AWP 

Join me at this upcoming DSPy meetup! We'll be showcasing how to leverage the power of Cohere's cutting-edge models, the magic of end-to-end DSPy, and the infrastructure provided by Arize AI and Weaviate to build robust solutions for complex tasks with efficiency. During the event, we'll have insightful lightning talks, a deep dive tutorial, and even open-source the demo so you can follow along. Plus, there will be delicious food and drinks, offering the perfect opportunity to connect with like-minded people. Register here: https://lu.ma/dspy

We’re excited to announce the launch of the Cohere Toolkit, an open-source repository designed to accelerate building AI applications for developers. This is a repository of production-ready applications that you can deploy across cloud providers. It empowers developers to create enterprise knowledge assistant applications efficiently with a wide range of use cases like customer support and financial analysis, providing the building blocks for an end-to-end retrieval-augmented generation (RAG) pipeline. It is fully customizable, allowing developers to tailor applications to their unique needs. The toolkit includes source code for core components including interfaces, models, and the retrieval pipeline. You will now be able to set up an application like the demo on Cohere’s website in just a few days. You can also contribute new features, or reskin it to reflect your branding. We’re excited to see what you build! https://lnkd.in/gunGre_K

If the rise of LLMs caught you by surprise, here's your chance to get a preview of what's likely to be the next monumental jump in AI capabilities: LLM-backed agents that use software tools In this video, I'll walk you through the concepts and code of building an LLM-backed agent with Cohere Command R+ and LangChain.

As AI technology evolves, the debate intensifies around supermassive context windows vs. retrieval-augmented generation (RAG). Our latest insights reveal that RAG is not only here to stay but is also pivotal for enterprise success. Integrating longer context windows does enhance AI capabilities, but it also introduces challenges like increased costs and latency. RAG systems, by contrast, continue to excel in scalability and efficiency, particularly in handling large-scale enterprise data needs. Here are four compelling reasons from our newest article why RAG is here to stay:  - Scalability Challenges: Massive context windows often falter in scaling effectively, while RAG systems maintain performance and manageability. - Superior Performance: In real-world applications, RAG outshines by delivering higher quality results across diverse data sources.  - Reliable and Timely: RAG acts as a reliable source of truth, ensuring data accuracy which is critical for building dependable enterprise solutions. - Agentic Capabilities: RAG leads to the potential for AI agents, offering new opportunities and enterprise use cases. Dive into the details of why RAG continues to be a game-changer for businesses with our latest article from Cohere experts Jay Alammar, Maxime Voisin, and Sam Barnett https://lnkd.in/e73XYTkn

If the rise of LLMs caught you by surprise, here's your chance to get a preview of what's likely to be the next monumental jump in AI capabilities: LLM-backed agents that use software tools https://lnkd.in/d6kXKR6i New video on YouTube!

Join me for an insightful deep dive into the practical applications of generative AI as part of the Amazon Web Services (AWS) Spotlight Series. We'll explore how Cohere's advanced models can significantly enhance your everyday business tasks, such as text summarization, content generation, and data analysis. Our solutions, seamlessly integrated on Amazon Bedrock and Sagemaker, are designed to boost efficiency and accuracy across multiple industries, including retail and financial services. Sign up here: https://lnkd.in/gg-y9na6

Join us for our upcoming webinar on April 30 at 11:00 a.m. PT/ 2:00 p.m. ET, where we will discuss the concrete advantages of implementing our AI solutions to enhance performance in real-world legal scenarios. Through the integration of Cohere's advanced AI models, including Command R and Embed, and leveraging RAG technology, Borderless AI developed a cutting-edge legal AI assistant. This led to streamlined legal processes across multiple languages and jurisdictions, revolutionizing contract creation, legal advice, and agreement analysis. Learn firsthand from David Stewart, Solutions Architect at Cohere, and Edward Robinson, Senior Engineering Manager at Borderless AI, as they dissect the tangible benefits and share practical strategies for optimizing performance.