Made By
CohereReleased On
2019-08-27
Command R is a generative AI model developed by Cohere that optimizes long-context tasks such as retrieval-augmented generation (RAG) and the use of external APIs and tools. It integrates with Cohere's Embed and Rerank models to provide a comprehensive solution for RAG applications, particularly in enterprise settings.
Key features:
- Optimized for retrieval-augmented generation, allowing it to access private knowledge bases and generate informed responses
- Integrates with Cohere's Embed and Rerank models to enhance information retrieval and relevance
- Automates sophisticated tasks and workflows by using internal and external tools
- Supports 10 major languages of global business
- Supports up to 128k tokens and offers cost-effective pricing
How it works:
Users interact with Command R primarily through Cohere's hosted API, which facilitates integration into various applications and workflows. The model works seamlessly with Cohere's Embed and Rerank models to enhance its retrieval and generation capabilities. Developers can leverage Command R for automating complex tasks using APIs and tools, and generating informed responses based on extensive data analysis. The model's outputs include clear citations, reducing the risk of inaccuracies and providing additional context from source materials.
Integrations:
Command R integrates with major cloud providers and supports deployment on-premises for regulated industries and privacy-sensitive use cases.
Use of AI:
Command R is built on generative artificial intelligence and uses large language models (LLMs) to perform sophisticated reasoning and generate high-quality outputs based on extensive data analysis.
AI foundation model:
The specific AI foundation model used by Command R was not specified in the provided information.
How to access:
Command R is available as a web app through Cohere's hosted API, with plans to expand availability to major cloud providers. The model's weights are accessible on HuggingFace for research and evaluation purposes.
Pricing model: Usage/Credits/Tokens |
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