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  • From Observability to Optimization: Announcing the Opik Agent Optimizer Public Beta

    Vincent Koc

    May 21, 2025
    LLMOps, Product

    At Comet, we’re driven by a commitment to advance innovation in AI, particularly in the realm of LLM observability. Our…

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    From Observability to Optimization: Announcing the Opik Agent Optimizer Public Beta
  • Gideon Mendels

    August 5, 2020
    Comet Community Hub, Product

    Introducing Panels: Custom Visualizations for Machine Learning

    In the last three years since Comet was founded, our users and customers trained millions of models on anything from…

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    Introducing Panels: Custom Visualizations for Machine Learning
  • Nikolas Laskaris

    July 31, 2020
    Thought Leadership

    Investing in AI: Unlocking Profitable Machine Learning with Experiment Management

    This post was originally published as a sponsored post by Dell Technologies and Intel on CIO.com. We live in an…

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    Investing in AI: Unlocking Profitable Machine Learning with Experiment Management
  • Ashley Binford

    April 22, 2020
    Machine Learning

    comet.ml announces $4.5 million investment to double-down on Comet Enterprise and Meta Learning Capabilities

    Current customers include Ancestry, General Electric, The National Institute of Health and Fortune 100 Companies NEW YORK, NY–comet.ml, the industry-leading…

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    comet.ml announces $4.5 million investment to double-down on Comet Enterprise and Meta Learning Capabilities
  • Dhruv Nair

    April 20, 2020
    Comet Community Hub, Product

    Predictive Early Stopping – A Meta Learning Approach

    Introduction Model training is arguably the most time consuming, and computationally demanding part of the Machine Learning pipeline. Depending on…

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    Predictive Early Stopping – A Meta Learning Approach
  • Nikolas Laskaris

    March 25, 2020
    Partners & Integrations

    New Integration: Comet + PyTorch Lightning

    Machine learning practitioners can now use PyTorch Lightning with Comet to speed up research cycles and build better models, faster.…

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    New Integration: Comet + PyTorch Lightning
  • Nikolas Laskaris

    March 20, 2020
    Industry

    How to Make Remote Work Effective for Data Science Teams

    This article was written in collaboration with Tyler Folkman, Head of AI at Branded Entertainment Network. To read more of…

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    How to Make Remote Work Effective for Data Science Teams
  • Nikolas Laskaris

    December 4, 2019
    Machine Learning

    Why software engineering processes and tools don’t work for machine learning

    While AI may be the new electricity significant challenges remain to realize AI potential. Here we examine why data scientists…

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    Why software engineering processes and tools don’t work for machine learning
  • Nikolas Laskaris

    November 18, 2019
    Machine Learning, Tutorials

    How to apply machine learning and deep learning methods to audio analysis

    To view the code, training visualizations, and more information about the python example at the end of this post, visit…

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    How to apply machine learning and deep learning methods to audio analysis
  • Gideon Mendels

    October 24, 2019
    Machine Learning

    Stanford Research Series: Grand Digital Piano: Multimodal Transfer of Learning of Sound and Touch

    Authors: Ernesto Evgeniy Sanches Shayda (esanches@stanford.edu), Ilkyu Lee (lqlee@stanford.edu) I. MOTIVATION Musical instruments have evolved during thousands of years allowing…

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    Stanford Research Series: Grand Digital Piano: Multimodal Transfer of Learning of Sound and Touch
  • Dhruv Nair

    October 18, 2019
    Comet Community Hub, Machine Learning

    Estimating Uncertainty in Machine Learning Models — Part 3

      Check out part 1 (here)and part 2 (here) of this series In the last part of our series on…

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    Estimating Uncertainty in Machine Learning Models — Part 3
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