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…
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…
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…
Comet + Metaflow: The MLOps tech stack that truly scales with your engineering team
Machine learning is experimental in nature. It’s more like research in a lab than it is like building traditional software.…
Model CI/CD with Comet
Machine Learning Teams are moving their models from solutions like Github and storing them in MLOps platforms like Comet. Comet's…
Wrapping a Comet Experiment in Docker
Photo by Luke Peters on Unsplash Using Comet to track your experiments can improve your performance as a Data Scientist…
Credit Card Fraud Detection With Autoencoders
In this article, we’ll leverage the power of autoencoders to address a key issue for banks and their customers: credit…
