Learning GenAI via SOTA Papers

EP082: Command R Plus The Verifiable Enterprise Agent


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The provided text is a blog post introducing Command R+, Cohere's highly scalable large language model (LLM) specifically designed for enterprise workloads.

Here is a short summary of its key features:

  • Advanced RAG Capabilities: The model features a 128k-token context window and is highly optimized for Retrieval Augmented Generation (RAG). It improves response accuracy and provides in-line citations to help mitigate hallucinations, allowing businesses to reliably use their own proprietary data.
  • Robust Multilingual Support: Command R+ is built to excel in 10 key languages for global business operations. It also features a custom tokenizer that compresses non-English text much more efficiently than competitors, reducing token costs by up to 57%.
  • Multi-Step Tool Use: The model can act as a reasoning engine to automate complex business workflows. It can string together multiple tools over several steps to accomplish difficult tasks and can even self-correct if it encounters a bug or tool failure.
  • Enterprise Security and Availability: Built with a strong commitment to data privacy, Command R+ does not access customer data without permission and offers copyright assurance. It is available first on Microsoft Azure, followed by Oracle Cloud Infrastructure (OCI) and Cohere's hosted API.
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Learning GenAI via SOTA PapersBy Yun Wu