For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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Release Notes

January 17, 2023
January 17, 2023

Command Model Nightly Available!

Nightly versions of our Common models are now available. This means that every week, you can expect the performance of command-nightly to improve as we continually retrain them.

Command-nightly will be available in two sizes - medium and xlarge. The xlarge model demonstrates better performance, and medium is a great option for developers who require fast response, like those building chatbots. You can find more information here.

If you were previously using the command-xlarge-20221108 model, you will now be redirected to the command-xlarge-nightly model. Please note that access to the command-xlarge-20221108 model will be discontinued after January 30, 2023. The command-xlarge-nightly model has shown enhancements in all generative tasks, and we anticipate you will notice an improvement.


January 17, 2023
January 17, 2023

Command R+ is a scalable LLM for business

We’re pleased to announce the release of Command R+, our newest and most performant large language model. Command R+ is optimized for conversational interaction and long-context tasks, and it is the recommended model for use cases requiring high performance and accuracy.

Command R+ has been trained on a massive corpus of diverse texts in multiple languages, and can perform a wide array of text-generation tasks. You’ll find it especially strong for complex RAG functionality, as well as workflows that lean on multi-step tool use to build agents.

Multi-step Tool Use

Speaking of multi-step tool use, this functionality is now available for Command R+ models.

Multi-step tool use allows the model to call any number of tools in any sequence of steps, using the results from one tool call in a subsequent step until it has found a solution to a user’s problem. This process allows the model to reason, perform dynamic actions, and quickly adapt on the basis of information coming from external sources.

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