<?xml version="1.0" encoding="utf-8"?>
<feed xml:lang="en-us" xmlns="http://www.w3.org/2005/Atom"><title>Simon Willison's Weblog: command-r</title><link href="http://simonwillison.net/" rel="alternate"/><link href="http://simonwillison.net/tags/command-r.atom" rel="self"/><id>http://simonwillison.net/</id><updated>2024-04-09T16:19:09+00:00</updated><author><name>Simon Willison</name></author><entry><title>Command R+ now ranked 6th on the LMSYS Chatbot Arena</title><link href="https://simonwillison.net/2024/Apr/9/command-r/#atom-tag" rel="alternate"/><published>2024-04-09T16:19:09+00:00</published><updated>2024-04-09T16:19:09+00:00</updated><id>https://simonwillison.net/2024/Apr/9/command-r/#atom-tag</id><summary type="html">
    
&lt;p&gt;&lt;strong&gt;&lt;a href="https://fedi.simonwillison.net/@simon/112242034813525962"&gt;Command R+ now ranked 6th on the LMSYS Chatbot Arena&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;
The LMSYS Chatbot Arena Leaderboard is one of the most interesting approaches to evaluating LLMs because it captures their ever-elusive “vibes”—it works by users voting on the best responses to prompts from two initially hidden models&lt;/p&gt;

&lt;p&gt;Big news today is that Command R+—the brand new open weights model (Creative Commons non-commercial) by Cohere—is now the highest ranked non-proprietary model, in at position six and beating one of the GPT-4s.&lt;/p&gt;

&lt;p&gt;(Linking to my screenshot on Mastodon.)


    &lt;p&gt;Tags: &lt;a href="https://simonwillison.net/tags/ai"&gt;ai&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/generative-ai"&gt;generative-ai&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/llms"&gt;llms&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/cohere"&gt;cohere&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/command-r"&gt;command-r&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/chatbot-arena"&gt;chatbot-arena&lt;/a&gt;&lt;/p&gt;



</summary><category term="ai"/><category term="generative-ai"/><category term="llms"/><category term="cohere"/><category term="command-r"/><category term="chatbot-arena"/></entry><entry><title>llm-command-r</title><link href="https://simonwillison.net/2024/Apr/4/llm-command-r/#atom-tag" rel="alternate"/><published>2024-04-04T17:38:42+00:00</published><updated>2024-04-04T17:38:42+00:00</updated><id>https://simonwillison.net/2024/Apr/4/llm-command-r/#atom-tag</id><summary type="html">
    
&lt;p&gt;&lt;strong&gt;&lt;a href="https://github.com/simonw/llm-command-r"&gt;llm-command-r&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;
Cohere released Command R Plus today—an open weights (non commercial/research only) 104 billion parameter LLM, a big step up from their previous 35 billion Command R model.&lt;/p&gt;

&lt;p&gt;Both models are fine-tuned for both tool use and RAG. The commercial API has features to expose this functionality, including a web-search connector which lets the model run web searches as part of answering the prompt and return documents and citations as part of the JSON response.&lt;/p&gt;

&lt;p&gt;I released a new plugin for my LLM command line tool this morning adding support for the Command R models.&lt;/p&gt;

&lt;p&gt;In addition to the two models it also adds a custom command for running prompts with web search enabled and listing the referenced documents.


    &lt;p&gt;Tags: &lt;a href="https://simonwillison.net/tags/plugins"&gt;plugins&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/projects"&gt;projects&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/ai"&gt;ai&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/generative-ai"&gt;generative-ai&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/llms"&gt;llms&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/llm"&gt;llm&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/cohere"&gt;cohere&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/command-r"&gt;command-r&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/rag"&gt;rag&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/llm-tool-use"&gt;llm-tool-use&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/llm-release"&gt;llm-release&lt;/a&gt;&lt;/p&gt;



</summary><category term="plugins"/><category term="projects"/><category term="ai"/><category term="generative-ai"/><category term="llms"/><category term="llm"/><category term="cohere"/><category term="command-r"/><category term="rag"/><category term="llm-tool-use"/><category term="llm-release"/></entry></feed>