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Tracking LangChain Projects with Comet
The advent of Large Language Models (LLMs) has changed the Artificial Intelligence (AI) landscape. These powerful Natural Language Processing (NLP)…
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Customer Churn With Continuous Experiment Tracking
Introduction In today’s competitive business environment, retaining customers is essential to a company’s success. Customer churn, or the rate at…
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Hyperparameter Tuning for Optimizing ML Performance
Hyperparameter tuning is a key step in order to optimize your machine learning model’s performance. Learn what it is and…
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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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Optimized Deep Learning Pipelines
A Deep Dive into TFRecords and Protobufs Learn how to optimize your deep learning pipelines using TFRecords and Google’s…
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Fine-tuning YOLOv8 for Image Segmentation with Comet
Introduction Today, AI developers use computer vision (CV) to incorporate solutions to identify, classify, and respond to objects in real…
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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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SAM + Stable Diffusion for Text-to-Image Inpainting
In this article, we’ll leverage the power of SAM, the first foundational model for computer vision, along with Stable Diffusion,…
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Debugging Image Classifiers With Confusion Matrices
Introduction We often rely on scalar metrics and static plots to describe and evaluate machine learning models, but these methods…
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