Tag: AI4tech

Reject Option: Your AI Model Has the Right to Remain Silent

When it comes to AI models, we often expect them always to provide an answer. But what if we could trust them more when they choose to remain silent? This concept, known as the ‘Reject option‘, allows AI models to abstain from answering when they are not confident, opening up many applications in your business […]

Written by on Mar 16, 2024

What Does Artificial Intelligence Mean For Your Business?

Artificial Intelligence (AI) is a term on everyone’s lips these days. But it’s not just a buzzword to attract investors and new clients. It’s a transformative technology that can revolutionize your business. But what exactly is AI, and how can it transform your business? Let’s dive in. What is Artificial Intelligence? Artificial Intelligence consists of […]

Written by on Mar 7, 2024

Long-term vs. Short-term Predictions in Machine Learning

When building a machine learning model, one of the most common questions is whether to opt for long-term or short-term predictions. In other words, should you build a model that forecasts an event tomorrow or a month from now? Our article will demystify this critical decision-making process. We’ll walk you through a strategic approach that […]

Written by on Jan 27, 2024

Classifying text using LLMs

  Text classification is one of the most common use cases in Natural Language Processing, with numerous practical applications – now easier to access with Large Language Models. Companies use text classification in multiple scenarios to become more efficient: Tagging large volumes of data: reducing manual labor with better filtering, automatically organizing large volumes of […]

Written by on Aug 29, 2023

NILG.AI will be at the Iqony Technology Days 2023

Innovation drives the future of the industry, and at NILG.AI, we’re committed to leading this charge. Therefore, we’re excited to announce our participation in the upcoming Iqony Technology Days 2023, scheduled for this September in Brühl, Cologne. Our enthusiasm is fueled by our recent victory in the Hands On Data (HOD) challenge earlier this year.  […]

Written by on Aug 21, 2023

Spatial Explanations: Unlocking Insights with Occlusions

Spatial Explanations with Occlusions: In computer vision, businesses must grasp the workings of image models to fully leverage visual data. Our simple method called spatial explanations with occlusions, helps achieve a deeper understanding. By employing spatial occlusions across images, this technique unveils critical areas that significantly influence the model’s predictions.” What to do with these […]

Written by on Aug 2, 2023

The ABCs of Computer Vision Course is now available!

At NILG.AI, we believe that knowledge is the currency of the 21st century, and our commitment to knowledge sharing drives us to create, acquire, nurture, and facilitate its flow. Today, we are thrilled to announce the launch of our latest free course, The ABCs of Computer Vision – an exciting opportunity to dive into the fascinating […]

Written by on Jul 25, 2023

Empowering AI Innovation

We are excited to announce that NILG.AI is sponsoring the best poster award at the RecPad conference. This annual event brings together brilliant minds in the field of Pattern Recognition in Portugal to explore the latest advancements and breakthroughs in this exciting domain. RecPad Conference is an exceptional local platform for researchers, professionals, and enthusiasts […]

Written by on Jun 12, 2023

The Impact of Large Language Models

Large Language Models (LLMs) are THE hot topic of the year. If the name Large Language Models sounds unfamiliar to you, I’m pretty sure you’ve heard of ChatGPT, OpenAI, and Bard. People who don’t know how to code have gained access to a tool that allows them to build Proof of Concepts for ideas they’ve […]

Written by on May 25, 2023

Increasing Efficiency with Active Learning

The problem: Labeling data is boring (and expensive) So there you are. You have collected your data, analyzed it, processed it, and built your sophisticated model architecture. After many hours of training and evaluating, you have come to a very unpleasant conclusion: you need more data. Before you readjust your budget to fit the extra […]

Written by on Mar 3, 2023