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Major Releases: MCP Server & Google Agent Dev Kit Support
We’ve just rolled out two major updates in Opik, Comet’s open-source LLM evaluation platform, that make it easier than ever…
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How to Use Comet’s New Integration with Union & Flyte
In the machine learning (ML) and artificial intelligence (AI) domain, managing, tracking, and visualizing model training processes, especially at scale,…
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How to Integrate Comet with Catboost Workflows
Photo by Campaign Creators on Unsplash Catboost is one of the most versatile gradient-boosting models. Its crucial capability is processing…
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Streamline ML Model Development with GitLab’s DevOps Platform and Comet
Editor’s Note: This blog post was co-written alongside William Arias, Technical Marketing Manager at GitLab, and has been syndicated with…
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Dataset Preparation Meets Experiment and Model Management with Superb AI and Comet
When it comes to machine learning projects, the hard truth is that training just one model on one version of…
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Empowering Comet with GitLab
Photo by Lopez Robin on Unsplash Comet is a meta Machine Learning experimentation platform, providing many features to track, compare,…
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Integrating Comet and Azure Databricks
Diamond, Deposit Photos Introduction Recently I made the switch to actively tracking my machine learning experiments. First with ML Flow…
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Compare Object Detection Models From TorchVision
Introduction Object detection is one of the most popular applications of machine learning for computer vision. A detection model predicts…
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Pythae + Comet
The Pythae library, which brings together many Variational Autoencoder models and enables researchers to make comparisons and conduct reproducible research,…
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New Integration: Comet and Ray
We’re excited to announce another excellent integration with Comet — Ray! This integration allows data scientists to leverage Comet’s experiment tracking…
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