Cohere, a language modeling company known for its strong embeddings, has opened a New York City office to improve collaboration with senior leadership at large companies.

Cohere and Accenture are collaborating to bring cohere embedding technology to more than 9,000 enterprise clients.

Cohere’s newly launched RAG-optimized Command-R model, designed for businesses to get into large-scale production, is coming to the recently launched NVIDIA API catalog.

Cohere has introduced Command R+, a powerful, scalable LLM designed for enterprise use cases, featuring advanced retrieval augmented generation with citation, multilingual coverage in 10 key languages, and tool use capabilities.

Cohere has released a chat interface that includes many nice features for building AI-based chat applications.

Cohere launched a new developer toolkit to make enterprise AI application building faster and simpler across any cloud provider so developers can deploy in production at scale. With the Cohere Toolkit, developers have the source code to accelerate their development and quickly set up an application within just a few days.

Command R fine-tuning offers industry-leading performance at a fraction of the cost. Command R with fine-tuning consistently outperforms larger models across key performance metrics that matter most for businesses. Command R fine-tuning is immediately available for businesses and developers on Cohere's platform and Amazon Sagemaker.

The Aya project has 3 different models of increasing size and can converse in 101 languages, many of which are extremely low resource. This project is an incredible step for the open and general access research community.

Cohere released a dataset containing all of Wikipedia, making it practical to create a semantic, vector-based index of Wikipedia on a laptop. This developer was able to index the entire database on a laptop by making sure they had enough free disk space and RAM and disabling swap. They used an indexing library that supported indexing larger-than-memory datasets by compressing vectors.

This article contains a transcript of an interview with Aidan Gomez, CEO of Cohere, where he discusses Cohere's path to profitability, the benefit of competition in the enterprise space, AI's current abilities, the future of large language models, and more.

Cohere and Fujitsu announced a strategic partnership to develop and provide enterprise AI services with industry-leading Japanese language capabilities. These services will be created with security and data privacy at the core, offering private cloud deployments to serve organizations in highly-regulated industries including financial institutions, the public sector, and R&D units.

Cohere, a Canadian AI startup focused on large language models, has reached a $5.5B valuation following a $500M Series D funding round. The new funds aim to enhance its enterprise-grade AI tech for global business efficiency. Key investors include PSP Investments, Cisco, Fujitsu, AMD Ventures, and EDC.

Command R and Command R+ received an upgrade on essentially all tasks. They are now better at recall, speed, math, and reasoning.

It is an industry secret that pretraining models on code helps them generalize in other tasks that require reasoning. This paper from Cohere thoroughly studies that problem and confirms that code is broadly useful as a building block of reasoning.