Introduction In a previous post, I presented feature extraction, which is a technique for utilizing pre-trained Large Language Models (LLMs) to solve a custom problem without having to retrain the model. Feature extraction is one of two ways to use the knowledge a model already has for a task that is different from what the model was originally trained to

Introduction In this post, I am going to present a technique that every engineer should know for utilizing open source large models. Specifically, I will show how to perform feature extraction. Feature extraction is one of two ways to use the knowledge a model already has for a task that is different from what the model was originally trained to

Tl;dr: In this post, we will create a custom image dataset and then train a You-Only-Look-Once (YOLO) model for the ubiquitous task of object detection. We will then implement a system using MinIO Bucket Notifications that can automatically perform inference on a new image. Introduction: Computer vision remains an extremely compelling application of artificial intelligence. Whether it’s recognizing