FastSAM for Image Segmentation Tasks — Explained Simply
segmentation is a popular task in computer vision, with the goal of partitioning an input image into multiple regions, where ...
Read more The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix
phrase “just retrain the model” is deceptively simple. It has become a go-to solution in machine learning operations whenever the ...
Read more How Do Grayscale Images Affect Visual Anomaly Detection?
Introduction: Why grayscale images might affect anomaly detection. Anomaly detection, grayscale images: Quick recap on the two main subjects discussed ...
Read more How To Significantly Enhance LLMs by Leveraging Context Engineering
is the science of providing LLMs with the correct context to maximize performance. When you work with LLMs, you typically ...
Read more Advanced Topic Modeling with LLMs
This article is a continuation of topic modeling open-source intelligence (OSINT) from the OpenAlex API. In a previous article, I ...
Read more Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow
https://github.com/syrax90/dynamic-solov2-tensorflow2 – Source code of the project described in the article. Disclaimer ⚠️ First of all, note that this project ...
Read more AI text-to-speech programs could “unlearn” how to imitate certain people
AI companies generally keep a tight grip on their models to discourage misuse. For example, if you ask ChatGPT to ...
Read more There and Back Again: An AI Career Journey
I had wide-eyed ambitions to be an Artificial Intelligence developer. I studied all the latest material. By that I mean ...
Read more AI ‘Nudify’ Websites Are Raking in Millions of Dollars
For years, so-called “nudify” apps and websites have mushroomed online, allowing people to create nonconsensual and abusive images of women ...
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