As Aggregata continues to evolve, we're committed to providing the optimal platform for our content. Read more about our decision to move from Astro to Ghost as an significant step towards enabling a more feature-rich content experience.
Image captioning is important because it provides a textual representation of the content and context of an image, improving accessibility and understanding for all users, especially those with visual impairments. In this post, we introduce BLIP for this use case.
Sentiment analysis is an increasingly important part of the evaluation of news from social networks. In the following article, we would like to present a pretrained transformer that is tailored for this task: the Emotion Text Classifier.
Obsidian, a tool for building a "second brain" - a system for organizing and managing information effectively. Learn how this free, open source platform can help you organize notes, connect ideas and potentially improve workflow efficiency.
Not all websites need to be dynamic. Discover the cost-efficiency, security and global accessibility benefits of static HTML. Learn how to recognise when static delivery is the right choice for your project.
The Naive Bayes classifier is a simple and efficient algorithm for classification tasks that assumes independence of the features. This post aims to introduce this algorithm to the reader.
Large amounts of data can be challenging for many reasons. Today, I will present an algorithm that can be used to reduce the size of a data set: Random Projections.
Visualise validation errors in your backend for input elements with Alpine.js and improve the user experience of your forms. Read more in this article.
T5 is a powerful language model capable of performing a wide range of text-to-text tasks, including text classification, language translation or text summarization. The aim of this post is to introduce this pretrained transformer to the reader.
The Arc Browser brings a breath of fresh air to the browser market and at the same time offers interesting features that could have a lasting impact on the way we browse the Internet. Read more in this article.
Optimizing a (complex) function can be a difficult task. Here I present a library which I use and which I think is a good way to solve such tasks. In addition, I will show corresponding tasks and an implementation of a comparatively simple optimization task as a usage example.
As in many other areas, ethical issues are necessary for the safe and fair use of various products. In this article, we will look at ethical issues related to machine learning.
