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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Guides and conceptsAPI ReferenceRelease NotesLLMUCookbooks
Guides and conceptsAPI ReferenceRelease NotesLLMUCookbooks
  • Get Started
    • Introduction
    • Installation
    • Creating a client
    • Playground
    • FAQs
  • Models
    • An Overview of Cohere's Models
    • Aya
    • Embed
    • Rerank
  • Text Generation
    • Introduction to Text Generation at Cohere
    • Using the Chat API
    • Reasoning
    • Image Inputs
    • Streaming Responses
    • Predictable Outputs
    • Advanced Generation Parameters
    • Tool Use
    • Tokens and Tokenizers
    • Summarizing Text
    • Safety Modes
  • Embeddings (Vectors, Search, Retrieval)
    • Introduction to Embeddings at Cohere
    • Semantic Search with Embeddings
    • Multimodal Embeddings
    • Batch Embedding Jobs
  • Going to Production
    • API Keys and Rate Limits
    • Going Live
    • Deprecations
    • How Does Cohere's Pricing Work?
  • Integrations
    • Integrating Embedding Models with Other Tools
    • Cohere and LangChain
    • LlamaIndex and Cohere
  • Deployment Options
    • Overview
    • SDK Compatibility
  • Tutorials
    • Cookbooks
    • LLM University
    • Build Things with Cohere!
    • Agentic RAG
    • Cohere on Azure
  • Responsible Use
    • Security
    • Usage Policy
    • Command A Technical Report
    • Command R and Command R+ Model Card
  • Cohere Labs
    • Cohere Labs Acceptable Use Policy
  • More Resources
    • Cohere Toolkit
    • Datasets
    • Improve Cohere Docs
    • Cohere's Command Model
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On this page
  • Cutting-edge performance
  • Why Command
  • Customize it to your data and advanced use cases
  • Example use cases
  • Collaborate With a Helpful Co-Author
  • In-depth analysis of documents
  • Millions of answers, at your command
  • Power the next generation of intelligent systems

Cohere's Command Model

World-Class AI, at your Command

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In this chapter, we’ll give you an overview of the new Command model for generation, and its uses.

Command is Cohere’s flagship text generation model. It is trained to follow user commands and to be instantly useful in practical business applications.

Cutting-edge performance

Command ranks at the top of the HELM benchmark, an evaluation leaderboard comparing large language models on a wide number of tasks (March ‘23 results). HELM is the Holistic Evaluation of Language Models from Stanford University.

Why Command

** 1- Continuously improving**

Future-proof your language model technology by relying on a model that keeps improving over time. Join the Discord to keep learning about the latest releases.

** 2- Trained on practical use cases**

We especially train Command on data that aids reliable business applications, like summarization, copywriting, extraction, and question answering.

3- Optimized for business priorities

We are SOC 2 compliant and care deeply about security, privacy, and Responsible AI.

Customize it to your data and advanced use cases

Command can instantly perform many tasks by default. But if you need to incorporate company-specific language or more advanced use cases, then Command can be customized to hyperfocus on your use case.

Example use cases

Collaborate With a Helpful Co-Author

Command can write product descriptions, help draft emails, suggest example press release copy, and much more.

In-depth analysis of documents

Ask Command multiple questions about a document in order to assign a category to the document, extract a piece of information, or answer a general question about the document.

Millions of answers, at your command

Where answering a few questions about a document can save you a few minutes, doing it for thousands of documents can save a company years.

Power the next generation of intelligent systems

Integrating Command into your products unlocks a world of possibilities. Dedicate your time to product innovation, while Cohere handles model improvement and deployment for you.