Roxanne BoehléA Path to Responsible AI: Making LLMs More Environmentally SustainableThe rise of Large Language Models (LLMs) like GPT has proven that this technology is here to stay. While much of the conversation around…3d ago3d ago
David Pinho“Leave That Bad Code Alone”: How to Fix Technical Debt PragmaticallyNavigating Technical Debt Without Losing MomentumAug 30Aug 30
Thomas WojcikOpening the Black Box: Explaining Text Embeddings for Semantic SearchYou might have heard about techniques such as ”semantic search”, ”vector search”, or ”embedding search” becoming more popular in recent…Aug 16Aug 16
Toby TanUnleashing the Power of Digital Twins: A Comprehensive GuideDigital twins are transforming industries by providing a comprehensive digital replica of physical environments. This article will delve…Jul 26Jul 26
Akif BerberDigital Ownership in Data ScienceThe issue of data ownership brings us into a complex ethical area, blurring the lines between personal and public spaces, and between the cJul 8Jul 8
Harold SelmanSemantic Search: Stop Looking for Words, Search for MeaningIntroduction Semantic SearchJun 28Jun 28
Coen GoedhartFind Relevant Motions of the Dutch House of Representatives using Semantic Search and Filter…An idea came to me during last year’s Dutch House of Representatives elections. While reading party election manifestos…Jun 24Jun 24
Lisa van der GoesCollaborative Learning: Exploring Distributed Training for Machine Learning ModelsIn the constantly evolving landscape of machine learning, one thing is clear: managing large amounts of data forms a big challenge. With…Jun 7Jun 7
Bas de HaanReinforcement Learning 101: AI plays Pokémon!The basics of Reinforcement Learning and how each aspect can be applied to the Pokémon games.May 27May 27
Yoeri van BruchemQualitative evaluation of LLM responsesEffectively using LLMs requires mitigating risks and validating responses with frameworks like RACCCA.Apr 9Apr 9