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
Software Development
Toronto, Ontario 118,954 followers
We build secure and scalable enterprise-grade AI technology to solve real-world business problems.
About us
Cohere is the leading data security-focused enterprise AI company. It is a global technology company co-headquartered in Toronto and San Francisco, with key offices in London and New York. The company builds enterprise-grade frontier AI models designed to solve real-world business challenges. Cohere’s AI solutions are cloud-agnostic to meet companies wherever their data is stored and offer the highest levels of security, privacy, and customization with on-premises and private cloud deployment options.
- Website
-
http://cohere.com
External link for Cohere
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- Toronto, Ontario
- Type
- Privately Held
- Founded
- 2019
- Specialties
- Natural Language Processing, Machine Learning, and Artificial Intelligence
Locations
-
Primary
Toronto, Ontario, CA
-
San Francisco, California, US
-
London, GB
-
New York, NY, US
Employees at Cohere
-
Kimberly Chun
Cohere Global Strategic Accounts - North America & Asia Pacific (Former Oracle, Salesforce, Microsoft, & Samsung)
-
Steven G. Woods
Partner & CTO, Inovia Capital
-
Wojciech Galuba
Engineering Leader, large-scale data systems, AI/ML in production and AI research
-
Rob Salvagno
SVP Corporate Development & Head of S Ventures @SentinelOne
Updates
-
One of the most powerful applications of GenAI is workflow automation. Using our enterprise AI solutions Atomicwork developed Atom AI, a digital assistant that understands and responds to requests from employees. Learn more about how our Command R+ and Rerank models are leveraged to increase the effectiveness and performance of IT support teams: https://lnkd.in/gDj2qAje Ivan Zhang, Cohere’s Co-founder, and Vijay Rayapati, Atomicwork’s CEO, will sit down to discuss our partnership and highlight how to implement GenAI within businesses. Register for the upcoming webinar on July 23: https://lnkd.in/gUYy6WZF
-
Structured Outputs with JSON response format are now supported for our Command R and R+ models, allowing users to generate valid and well-formatted JSON outputs. This enables seamless integration with downstream tasks and API calls, increasing the reliability of enterprise-grade applications. Structured Outputs simplifies data handling and ensures compatibility with specific formatting requirements. Learn more here: https://lnkd.in/gEm8QCQh
-
New features on Cohere Toolkit: you can now build with configurable authentication, HTML rendering, and multi-step tool use. The toolkit is an open-source repository of production-ready applications, deployable across cloud providers. It includes components for building an end-to-end Knowledge Assistant with Cohere's Chat UI and custom tools, compatible with AWS, Azure, and OCI. Learn more: https://lnkd.in/gw6wzhMa
-
Cohere reposted this
We've formed a strategic partnership with Cohere to develop generative AI for businesses. The partnership will focus on developing and providing large language models (LLMs), offering businesses powerful and adaptable AI solutions that address specific needs and accelerate the adoption of generative AI globally. Find out more about this collaboration that will deliver improved experiences for customers and employees: https://okt.to/VKWzbd #GenerativeAI #AI #Partnership #LLM
-
Today, we announced a strategic partnership with Fujitsu to develop and provide enterprise-grade AI solutions with industry-leading Japanese language capabilities. We’re focused on meeting businesses where they are and in the languages they speak to deliver real-world impact for customers. These services will be created with security and data privacy at the core, offering private cloud deployments to support organizations including financial institutions, the public sector, and R&D units. This partnership marks an important step in offering our highly secure frontier AI technology to the global market. Check out our blog: https://lnkd.in/gyb8X_DQ Learn more from our partners: https://lnkd.in/gnpEZC_7
Cohere and Fujitsu Announce Strategic Partnership To Provide Japanese Enterprise AI Services
cohere.com
-
With our technology and Provectus' expertise, Cohere is more equipped than ever to help insurance companies leverage AI to tackle enterprise-grade workloads and improve their processes. Check out their comprehensive guide to discover how our cutting-edge models can quickly transform your business and improve risk evaluation.
Generative AI’s ability to streamline operations, reduce costs, and ensure compliance makes it a silver-bullet technology for insurance organizations. For industry leaders today, adopting generative AI is a strategic choice to remain competitive. Dig into this innovative technology and learn how it can augment such business functions as: ✔ Marketing and sales ✔ Customer operations ✔ Risk and compliance ✔ Software engineering ✔ Strategy and finance Provectus is ready to support your insurance organization on its GenAI adoption journey. It begins with the discovery and implementation of your first GenAI use case, and gradually scales to organization-wide adoption. Download our comprehensive guide to explore the GenAI journey! https://lnkd.in/gQcpk54P #GenerativeAI #Insurance #AIadoption #AIusecases #Innovation
Reimagining Insurance with Generative AI: The Ultimate Guide for Business Leaders
provectus.com
-
Experience the seamless integration of Cohere models with Amazon Web Services (AWS) through the first release of Cohere-on-AWS notebooks. These notebooks offer best practices on prompting, tool integrations, and more for your GenAI projects.
🥳 Super excited about the first release of Cohere-on-AWS! If you need guidance and best-pratices of using Cohere models in Amazon Web Services (AWS), look no further than this amazing repo. What do you get (for now)... 🕵️♀️ Exploring LangChain Retrieval Algorithms: super efficient use of Embed-english and Command models, alongside FAISS and ChromaDB, for RAG flows. 🧑🏫 Prompting Guide 101 For Cohere Command R and R+: This is your source for best in class prompting of Cammand models. 👩🔧 Tool Use with Cohere on Bedrock: Last but not least, Tool use with Bedrock's Converse API. BIG shout out to Breanne Warner, Niithiyn Vijeaswaran and Preston Tuggle for creating and collecting these amazing resources in a single repo. AFAIK, they are not done with it! More to come! What are you waiting for, go check it out! Github: https://lnkd.in/g-BAwMqx #GenAI #GenerativeAI #MachineLearning #RAG #AWS #Cohere #FoundationModels #Bedrock #LLM #DataScience
GitHub - aws-samples/Cohere-on-AWS
github.com
-
Cohere reposted this
Developers, data scientists, and #GenAI enthusiasts — join us on July 18th for a deep dive into advanced strategies for RAG with Lilach Adler, Principal Solutions Architect at Elastic, and Maxime Voisin, Senior Product Manager at Cohere. Learn more and register: https://go.es.io/4bIoaqL
-
Implementing LLMs successfully starts with a strategic approach. By leveraging usage and performance analysis as well as addressing safety and ethical concerns, product owners can build robust AI solutions that deliver significant value. Our latest article underscores the importance of continuous improvement and responsible AI development. The key takeaway for product owners is to stay informed, adaptable, and proactive in their approach to AI. By doing so, they can harness the power of LLMs to drive innovation and efficiency while ensuring that their AI solutions are both effective and ethical. Learn more from Director of Product, Nick Jakobi: https://lnkd.in/evBvcU_U