Cohere's Command-R+ Specialized Model for RAG and Tools

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  • Опубліковано 31 тра 2024
  • Meet Command-R+, Cohere's advanced generative AI tailored for large-scale enterprise use. Specializing in retrieval-augmented generation and tool utilization, Command-R empowers organizations to implement AI-driven solutions that utilize proprietary knowledge and streamline intricate tasks in 10 leading languages. Featuring a broadened 128k token context window and enhanced pricing options, Command-R+ works alongside Cohere's Embed and Rerank models, enhancing both precision and productivity, all while placing a strong emphasis on the protection and confidentiality of data.
    🦾 Discord: / discord
    ☕ Buy me a Coffee: ko-fi.com/promptengineering
    |🔴 Patreon: / promptengineering
    💼Consulting: calendly.com/engineerprompt/c...
    📧 Business Contact: engineerprompt@gmail.com
    Become Member: tinyurl.com/y5h28s6h
    💻 Pre-configured localGPT VM: bit.ly/localGPT (use Code: PromptEngineering for 50% off).
    Signup for Advanced RAG:
    tally.so/r/3y9bb0
    LINKS:
    Blogpost: tinyurl.com/mr29bwb9
    Try it out yourself: coral.cohere.com/?s=t
    TIMESTAMPS:
    [00:00] What is Cohere's Command R+
    [01:40] Performance on RAG, multilingual and Tools
    [05:30] Exploring Cohere Coral: A Platform for Experimentation
    All Interesting Videos:
    Everything LangChain: • LangChain
    Everything LLM: • Large Language Models
    Everything Midjourney: • MidJourney Tutorials
    AI Image Generation: • AI Image Generation Tu...
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КОМЕНТАРІ • 5

  • @victor-iyi
    @victor-iyi Місяць тому +5

    Most of these evaluations just goes to show how powerful GPT-4 is. Even though it was released over a year ago.

  • @JoraMacKornev
    @JoraMacKornev Місяць тому

    thanks a lot - after watching this video I registered in cohere to try command R+

  • @imdb6942
    @imdb6942 Місяць тому +3

    Gave it a test run, there's an issue with web search connector, there's NO way to control/limit the # of search results token usage, at times the context window easily bloats to 40K tokens after 40 second latency, with command+r (not plus version) each API call with web connector ends up costing about 0.08 cents.
    Makes this very cost prohibitive, unless they find a way to let the end user limit the RAG context window when using web connector.

  • @handler007
    @handler007 Місяць тому +1

    this is very useful