Diego Peláez Paquico’s Post

Introducing Command-R, our new RAG-optimized LLM aimed at large-scale production workloads. Command-R fits into the emerging “scalable” category of models that balance high efficiency with strong accuracy, enabling companies to move beyond proof of concept, and into production. Command-R is a generative model optimized for long context tasks such as retrieval augmented generation (RAG) and using external APIs and tools. It’s designed to work in concert with Cohere’s industry-leading Embed and Rerank models to provide best-in-class integration for RAG applications and excel at enterprise use cases — across the 10 major languages of the global market. Command-R will be available immediately on Cohere’s hosted API, and on major cloud providers in the near future. In keeping with Cohere’s core principles, it maintains a focus on privacy and data security. To learn more, visit our blog: https://lnkd.in/eUbSTyRr

Introducing Command-R, our new RAG-optimized LLM aimed at large-scale production workloads. Command-R fits into the emerging “scalable” category of models that balance high efficiency with strong accuracy, enabling companies to move beyond proof of concept, and into production. Command-R is a generative model optimized for long context tasks such as retrieval augmented generation (RAG) and using external APIs and tools. It’s designed to work in concert with Cohere’s industry-leading Embed and Rerank models to provide best-in-class integration for RAG applications and excel at enterprise use cases — across the 10 major languages of the global market. Command-R will be available immediately on Cohere’s hosted API, and on major cloud providers in the near future. In keeping with Cohere’s core principles, it maintains a focus on privacy and data security. To learn more, visit our blog: https://lnkd.in/eUbSTyRr

Introducing Command-R, our new RAG-optimized LLM aimed at large-scale production workloads. Command-R fits into the emerging “scalable” category of models that balance high efficiency with strong accuracy, enabling companies to move beyond proof of concept, and into production. Command-R is a generative model optimized for long context tasks such as retrieval augmented generation (RAG) and using external APIs and tools. It’s designed to work in concert with Cohere’s industry-leading Embed and Rerank models to provide best-in-class integration for RAG applications and excel at enterprise use cases — across the 10 major languages of the global market. Command-R will be available immediately on Cohere’s hosted API, and on major cloud providers in the near future. In keeping with Cohere’s core principles, it maintains a focus on privacy and data security. To learn more, visit our blog: https://lnkd.in/eUbSTyRr

Introducing Command-R, our new RAG-optimized LLM aimed at large-scale production workloads. Command-R fits into the emerging “scalable” category of models that balance high efficiency with strong accuracy, enabling companies to move beyond proof of concept, and into production. Command-R is a generative model optimized for long context tasks such as retrieval augmented generation (RAG) and using external APIs and tools. It’s designed to work in concert with Cohere’s industry-leading Embed and Rerank models to provide best-in-class integration for RAG applications and excel at enterprise use cases — across the 10 major languages of the global market. Command-R will be available immediately on Cohere’s hosted API, and on major cloud providers in the near future. In keeping with Cohere’s core principles, it maintains a focus on privacy and data security. To learn more, visit our blog: https://lnkd.in/eUbSTyRr

Introducing Command-R, our new RAG-optimized LLM aimed at large-scale production workloads. Command-R fits into the emerging “scalable” category of models that balance high efficiency with strong accuracy, enabling companies to move beyond proof of concept, and into production. Command-R is a generative model optimized for long context tasks such as retrieval augmented generation (RAG) and using external APIs and tools. It’s designed to work in concert with Cohere’s industry-leading Embed and Rerank models to provide best-in-class integration for RAG applications and excel at enterprise use cases — across the 10 major languages of the global market. Command-R will be available immediately on Cohere’s hosted API, and on major cloud providers in the near future. In keeping with Cohere’s core principles, it maintains a focus on privacy and data security. To learn more, visit our blog: https://lnkd.in/eUbSTyRr

Introducing Command-R, our new RAG-optimized LLM aimed at large-scale production workloads. Command-R fits into the emerging “scalable” category of models that balance high efficiency with strong accuracy, enabling companies to move beyond proof of concept, and into production. Command-R is a generative model optimized for long context tasks such as retrieval augmented generation (RAG) and using external APIs and tools. It’s designed to work in concert with Cohere’s industry-leading Embed and Rerank models to provide best-in-class integration for RAG applications and excel at enterprise use cases — across the 10 major languages of the global market. Command-R will be available immediately on Cohere’s hosted API, and on major cloud providers in the near future. In keeping with Cohere’s core principles, it maintains a focus on privacy and data security. To learn more, visit our blog: https://lnkd.in/eUbSTyRr

Introducing Command-R, our new RAG-optimized LLM aimed at large-scale production workloads. Command-R fits into the emerging “scalable” category of models that balance high efficiency with strong accuracy, enabling companies to move beyond proof of concept, and into production. Command-R is a generative model optimized for long context tasks such as retrieval augmented generation (RAG) and using external APIs and tools. It’s designed to work in concert with Cohere’s industry-leading Embed and Rerank models to provide best-in-class integration for RAG applications and excel at enterprise use cases — across the 10 major languages of the global market. Command-R will be available immediately on Cohere’s hosted API, and on major cloud providers in the near future. In keeping with Cohere’s core principles, it maintains a focus on privacy and data security. To learn more, visit our blog: https://lnkd.in/eUbSTyRr

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