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 109,747 followers
The leading Enterprise AI platform that speaks the language of business.
About us
Cohere is the leading AI platform for enterprise. Our world-class AI is uniquely suited to the needs of business, unlocking unprecedented ease-of-use, accessibility, and data privacy. Cohere’s platform is cloud-agnostic, accessible through API as a managed service, and can be deployed on virtual private cloud (VPC) or even on-site to meet companies where their data is, offering the highest levels of flexibility and control. Founded by Google Brain alumni and a co-author of the seminal Transformer research paper, Cohere is on a mission to transform enterprises and their products with AI that unlocks a more intuitive way to generate, search, and summarize information than ever before. We are backed by group of global institutional and strategic investors including Index Ventures, Oracle, NVIDIA, Salesforce Ventures, Inovia Capital, DTCP, Mirae Asset, Radical Ventures, Section 32, and Tiger Global, as well as several AI luminaries, including Geoffrey Hinton, Jeff Dean, Fei-Fei Li, Pieter Abbeel, and Raquel Urtasun.
- Website
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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
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Primary
Toronto, Ontario, CA
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San Francisco, California, US
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London, GB
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New York, NY, US
Employees at Cohere
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Kimberly Chun
Cohere AI Global Strategic Accounts (Ex Oracle, Salesforce, Microsoft, & Samsung)
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Steven G. Woods
Partner & CTO, Inovia Capital
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Wojciech Galuba
Engineering Leader, large-scale data systems, AI/ML in production and AI research
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Rob Salvagno
SVP Corporate Development & Head of S Ventures @SentinelOne
Updates
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Cohere reposted this
Today we're announcing our startup program to support early-stage ventures with AI. For rapidly growing companies incorporating AI into their technology stacks is an imperative for innovation and gaining a competitive edge. This program offers participants discounted access to our enterprise-grade AI models, support from our technical experts, and valuable marketing exposure. We look forward to working with startups building cutting-edge business applications and products powered by Cohere’s highly secure and scalable frontier AI models. Apply here: https://lnkd.in/gwEs2qKc https://lnkd.in/g6AttEja
Cohere Launches Startup Program to Empower Early-Stage AI Innovation
cohere.com
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Today we're announcing our startup program to support early-stage ventures with AI. For rapidly growing companies incorporating AI into their technology stacks is an imperative for innovation and gaining a competitive edge. This program offers participants discounted access to our enterprise-grade AI models, support from our technical experts, and valuable marketing exposure. We look forward to working with startups building cutting-edge business applications and products powered by Cohere’s highly secure and scalable frontier AI models. Apply here: https://lnkd.in/gwEs2qKc https://lnkd.in/g6AttEja
Cohere Launches Startup Program to Empower Early-Stage AI Innovation
cohere.com
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Our team has crafted ready-made guides and notebooks, now easily accessible through our brand-new cookbook library! Dive into step-by-step instructions and best practices to build AI agents, summarization applications, and more with RAG and semantic search. These cookbooks are designed to help you quickly and easily power key enterprise use cases and build applications using Cohere models. Access the cookbooks here: https://lnkd.in/eGZCt-JW
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Thank you to everyone attending the Toronto Agent Meetup hosted by AgentOps.ai! We saw Command R+ brought to life with impressive agent demos, offering a glimpse into the agentic future of software. Toronto, you've done it again!
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Cohere reposted this
Happy Pride! It’s the first week of Pride Month and National Indigenous History Month, and I am so excited to say that Cohere’s Pride Camp is back and better than ever! Cohere is thrilled to invite 2SLGBTQIA+ professionals and passionate allies in the tech space to join us again for an unforgettable experience. Mark your calendars for June 27 as we celebrate the intersections of queerness and AI in our Toronto offices. Cohere Pride Camp 2024 promises to be even bigger and brighter— this year, we’ll be exploring what it means to create space, belonging, and resilience for our queer selves in the ever-evolving world of AI/Tech. By bringing together queer voices and allies, we aim to empower, create visibility, and foster a sense of community within the tech space. For the queer community, this event is a testament to our strength and a celebration of our stories. Join us as we hear from our incredible keynote speaker Naoufel Testaouni, Co-founder and CEO of QueerTech, and learn from an empowering panel discussion led by Mil Reyes. We'll also enjoy fun activities, delicious refreshments and dinner, next-level entertainment, and the opportunity to connect with like-minded individuals. We’ve got limited space so please register as soon as possible. And if you can’t make it in person, we will also be hosting a live-streamed version of the event here on LinkedIn so even more people can join the celebration! On a personal note, Pride Camp has been such a joy to design and lead this year, and I am also so grateful to our community partner QueerTech for their continued support of this proud initiative at Cohere. Learn more and register here: https://lnkd.in/etF9uHvn I can’t wait to see you there!
Cohere Pride Camp
info.cohere.ai
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Secure your spot at Toronto Agent Meetup! Join us on June 4 and discover how to leverage Command R+ in agent development. We’re excited to partner with AgentOps.ai to bring together startup founders, developers, and enthusiasts to explore community demos and discuss an agentic future. Register now.
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Becoming an expert takes years, but what if we could speed up this process for language models? In our latest newsletter, we dive into how fine-tuning Cohere Command R on the Cohere platform and Amazon SageMaker accelerates AI proficiency in specific tasks. Discover: - Cost and performance benefits of fine-tuning (15x savings!) - How it enhances RAG solutions (20% upside!) - Industries where fine-tuning delivers exceptional value (legal, finance, retail) Fine-tuning transforms a foundational model into a specialized solution, optimizing it for enterprise-grade workloads. Learn why Cohere’s fine-tuned models outperform larger, costlier alternatives. But don’t take our word for it, according to Erik Bergenholtz, VP of AI Strategy and Operations at Oracle, “Cohere’s fine-tuned models even outperform out-of-the-box versions of much larger and more expensive models.” Why settle for less when you can achieve more at a fraction of the cost? Read on for all the details in our latest newsletter.
Unlock Enterprise-Grade Performance: Fine-tuning Cohere Command R
Cohere on LinkedIn
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Looking to elevate your Enterprise AI strategy? Discover why leading technologists are turning to Retrieval-Augmented Generation (RAG) systems for cutting-edge solutions. Enterprises face several challenges when building LLM solutions: hallucinations, rising compute costs, and the need for dynamic, real-time information. Enter RAG—an innovation that connects large language models with real-world data. According to the foundational paper by Cohere’s Patrick Lewis, RAG systems offer timely, encyclopedic knowledge combined with the language generation capabilities of LLMs. This means smarter, faster, and more accurate results that drive better decision-making for your business. Imagine workplace assistants that can: - Summarize internal reports swiftly - Analyze customer data for tailored recommendations - Extract actionable insights from dense market research documents These are just a few examples of how RAG-based solutions can modernize enterprise workflows and operations. Explore the top 5 reasons enterprises are choosing RAG systems. Read the full article by David Stewart and Maxime Voisin. https://lnkd.in/ekR-jQaN
Five Reasons Enterprises Are Choosing RAG
cohere.com
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Congrats to Cohere For AI, our non-profit research lab, on the launch of Aya 23! This release creates an important resource for AI researchers to engage with state-of-the-art multilingual research models and helps democratize access to cutting-edge technology.
Today, we are excited to launch Aya 23, a state-of-the-art multilingual 8B and 35B open weights release. Aya 23 pairs a highly performant pre-trained model with the recent Aya dataset, making multilingual generative AI breakthroughs accessible to the research community. 🌍 https://lnkd.in/e2jTSG4w Our original Aya model covered 101 languages. Aya 23 is an experiment in depth vs breadth ↔️ ↕️, exploring the impact of allocating more capacity to fewer languages that are included during pre-training. Aya expands state-of-the-art language modeling capabilities to nearly 1/2 the world's population, outperforming Aya 101 and other widely used open weight instruction-tuned models 🌍 We report win-rates and find Aya 23 consistently generates higher quality responses. In both discriminative and generative multilingual benchmarks, Aya-23-35B achieves the highest results for the languages covered. Aya-23-8B demonstrates best-in-class for comparable model size multilingual performance. Dive deeper into the work with our technical report where you’ll find our evaluation results on multiple multilingual NLP benchmarks, and generation quality assessments. 📝 https://lnkd.in/gGUyAaZj Most high-performant language models only serve a handful of languages. Both this and the wider Aya family of models are part of a commitment to contributing state-of-the-art research demonstrating that more languages can be treated as first-class citizens. This release builds on the momentum of Aya - an open science movement that brought together 3,000 collaborators from 119 countries around the world. Aya 23 is now available to experiment, explore, and build on for fundamental research and safety auditing. 🎉 Access the model, report, and learn more about the Aya initiative here: https://lnkd.in/e2jTSG4w Try Aya 23: https://lnkd.in/gp4ZxWJv