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Author: Gideon Mendels

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  • Gideon Mendels

    September 24, 2026
    Partners & Integrations

    Comet Extends Agent Observability and Evaluation to Nebius AI Cloud

    Comet’s Opik platform is now listed in Nebius AI Cloud Applications, bringing agent observability, evaluation, and the full Comet AI…

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    Comet Extends Agent Observability and Evaluation to Nebius AI Cloud
  • Gideon Mendels

    |

    Jacques Verre

    September 16, 2024
    Comet Community Hub, LLMOps, Product

    Meet Opik: Your New Tool to Evaluate, Test, and Monitor LLM Applications

    Today, we’re thrilled to introduce Opik – an open-source, end-to-end LLM development platform that provides the LLM observability tools you…

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    Meet Opik: Your New Tool to Evaluate, Test, and Monitor LLM Applications
  • Gideon Mendels

    August 3, 2021
    Industry

    How to Tackle 3 Common Machine Learning Challenges

    Here are 3 common machine learning challenges and how to tackle them: 1. Building a good enough model: From our…

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    How to Tackle 3 Common Machine Learning Challenges
  • Gideon Mendels

    August 3, 2021
    Thought Leadership

    Managing ML Operations: When to Build vs Buy

    When to build your own MLOps platform and when to buy it? Here’s the framework: This depends on the level…

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    Managing ML Operations: When to Build vs Buy
  • 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
  • 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
  • Gideon Mendels

    October 2, 2019
    Machine Learning

    Stanford Research Series: Making Trading Great Again: Trump-based Stock Predictions via doc2vec Embeddings

    Authors: Rifath Rashid (rifath@stanford.edu) and Anton de Leon (aadeleon@atanford.edu) 1 Introduction The question of how accurately Twitter posts can model…

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    Stanford Research Series: Making Trading Great Again: Trump-based Stock Predictions via doc2vec Embeddings
  • Gideon Mendels

    September 25, 2019
    Partners & Integrations

    Stanford Research Series: Climate Classification Using Landscape Images

    Authors: Drake Johnson (drakej@stanford.edu), Tim Ngo (ngotm@stanford.edu), Augusto Fernandez (afyrxr@stanford.edu) I. Introduction: Recently, there has been an increase in interest…

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    Stanford Research Series: Climate Classification Using Landscape Images
  • Gideon Mendels

    September 19, 2019
    Machine Learning

    Stanford Research Series: Exploring Model Architectures and View-Specific Models for Chest Radiograph Diagnoses

    Authors: Danny Takeuchi (dtakeuch@stanford.edu), Raymond Thai (raythai@stanford.edu), Kevin Tran (ktran23@stanford.edu) This project tackles several current issues with automated chest X-ray…

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    Stanford Research Series: Exploring Model Architectures and View-Specific Models for Chest Radiograph Diagnoses
  • Gideon Mendels

    August 20, 2019
    Machine Learning

    Selecting the right weight initialization for your deep neural network

      Part 1 of a two part series The weight initialization technique you choose for your neural network can determine…

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    Selecting the right weight initialization for your deep neural network
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