Cohere’s Post

What does it take to lead in AI? McKinsey & Company's Louise Herring shares her insights on navigating AI adoption with boldness and precision in a recent interview with Cohere. She highlights the need for businesses to foster a culture of learning and embrace AI’s transformative potential while managing risk and responsibility. Don’t miss her expert tips on driving AI innovation—and check out Louise’s rapid-fire Q&A snippet below! Read the full article: https://lnkd.in/eivrcCRw Learn more about our strategic collaboration with McKinsey & Company: https://lnkd.in/eFjVqvpD

Congratulations to the recipients of the 2024 NEC Corporation C&C Prize, who are recognized for their outstanding contributions to computer and communications (C&C) technology. This year, the eight authors of the Attention Is All You Need paper were among the prize recipients, honored for their pioneering work on the Transformer architecture and for paving the way for today’s progress in generative AI. Congratulations to Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Lukasz Kaiser, Illia Polosukhin, and Cohere CEO Aidan Gomez! https://lnkd.in/gWGY2iRD

Join Cohere and Tavily for a Gen AI meetup in the Meatpacking District, NYC on October 16 from 5-7:30pm! Meet and network with AI engineers, startup founders, and ML experts including Cohere’s technical team, and hear from Rotem Weiss, CEO of Tavily, about how they build their products with Cohere’s models. Register here: https://lu.ma/6hhv31gn

We're excited to announce updated features and fine-tuning support for our latest Command R 08-2024 large language model (LLM)! These new features offer increased flexibility, control over data, and visibility into the fine-tuning process, making it an even more powerful tool for enterprises and developers. We’ve developed a seamless integration with Weights & Biases, which allows for comprehensive monitoring and evaluation of fine-tuning experiments. Fine-tuned Command R 08-2024 delivers exceptional efficiency, offering faster time to the first token and greater token throughput than larger models. It is an ideal choice for a wide range of enterprise use cases, where performance and efficiency are critical. Read more about our improved fine-tuning: https://lnkd.in/g5UGhDkV

We are excited to announce Takane, a new Japanese language model developed in partnership with Fujitsu. Takane is based on Command R+ and achieves industry-leading performance in Japanese language understanding. It also leverages Cohere’s leading RAG capabilities and multilingual support in other key business languages. Takane is designed for enterprise use in a secure private environment, so global enterprises can benefit from advanced, multilingual, performant AI while keeping data private and secure. Learn more: https://lnkd.in/gHryKZts

Our improved versions of Command R and Command R+ series are now available on Microsoft Azure AI Studio. Designed for enterprise-grade use, the Command R series focuses on retrieval-augmented generation with citations, supports 10+ languages, and tool use for workflow automation. The new versions offer increased performance, efficiency, and affordability, with improvements in coding, math, reasoning, and reduced latency. Deploy the Command R series from the Azure Marketplace:  https://lnkd.in/g3FfggvA https://lnkd.in/gkxgUrD3

For businesses, the reasoning capabilities of large language models (LLMs) are essential. In our latest newsletter, we explore the fast-paced advancements in LLM reasoning and how they're reshaping industries like finance, healthcare, and legal. Here’s what you need to know: Evolving Capabilities: LLMs are rapidly moving from simple tasks to advanced reasoning, enabling more complex decision-making and automation for your business. Real-World Applications: Cohere’s advanced models, such as the Command R series, are extending the capabilities of reasoning with notable improvements in code, math, and latency. Looking Ahead: As LLM reasoning evolves, we’re focused on challenges like security and fairness—ensuring these advancements deliver practical, secure, and reliable solutions. Read the full newsletter and get the latest on Enterprise AI.