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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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Building a Low-Cost Local LLM Server to Run 70 Billion Parameter Models
A guest post from Fabrício Ceolin, DevOps Engineer at Comet. Inspired by the growing demand for large-scale language models, Fabrício…
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The Ultimate Prompt Monitoring Pipeline
Welcome to Lesson 10 of 12 in our free course series, LLM Twin: Building Your Production-Ready AI Replica. You’ll learn how…
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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 Comet Achieved Zero Downtime
Introduction In an era where developers and engineers are constantly evaluating and adopting cloud tools, one of the most important…
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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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How to Monitor a Fraud Detection Model In Production
In this blog post we will leverage Comet’s Model Production Monitoring tool to monitor one of the most popular types…
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Organize Your Prompt Engineering with CometLLM
Introduction Prompt Engineering is arguably the most critical aspect in harnessing the power of Large Language Models (LLMs) like ChatGPT. Whether…
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Image Inpainting for SDXL 1.0 Base Model + Refiner
In this article, we’ll compare the results of SDXL 1.0 with its predecessor, Stable Diffusion 2.0. We’ll also take a…
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Explainable AI: Visualizing Attention in Transformers
In this article we explore one of the most popular tools for visualizing the core distinguishing feature of transformer architectures:…
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