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    Efficiently Training LLMs with W&B and Activeloop

    What to expect?

    Companies that implement large language models (LLMs) into their products gain tangible advantages thanks to efficiency gains, lower costs, better UX, and faster go-to-market pushes. To leverage LLMs in your own organization, you should have a lean training & dataset curation budget, as well as a scalable data flywheel. In addition, you should be able to detect problems with LLMs as they arise to mitigate the chance of costly mistakes. In this webinar, we will: - Cover LLMs and the challenges that arise during training - Understand how to utilize their GPUs fully while efficiently training LLMs - Learn how to leverage Activeloop and W&B during your LLM building processes - Train your own LLM!

    Get on-demand recording

    Our Speakers

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    B
    Davit Buniatyan
    Founder & CEO
    Activeloop
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    AS
    Anish Shah
    Growth ML Engineer
    Weights & Biases
Looking for your ticket? Contact the organizer
Looking for your ticket? Contact the organizer