Article

Revolutionizing Industry: The Impact of Large Language Models

May 25, 2023 in Industry Overview

Large Language Models (LLMs) are THE hot topic of the year. If the name LLM 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 been meaning […]

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Detecting duplicates in text

Oct 25, 2022 in Technical

A common use case seen across several industries is the creation of systems capable of detecting the similarity between pairs of objects – images and texts. For example, duplicate detection in marketplaces, or recommendation systems that show similar objects to the ones the user has searched for, can use such systems. They can also be […]

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Insights from Hands on Data conference 2022

Oct 25, 2022 in News

📢 Last month, we attended the Hands On Data (HOD) conference in Bochum, Germany. NILG.AI was one of the startup exhibitors, and we exchanged many ideas with other companies and participants 🤗. As part of the “European Data Resilience” panel, we shared the stage with Prof. Viktor Mayer-Schoenberger (University of Oxford), Martin Wibbe (Materna Information & Communications SE), Christian Temath (KI.NRW , Fraunhofer IAIS), and Sarah Yvonne […]

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NILG.AI learning culture

Oct 6, 2022 in News

Different companies have different principles and values which define themselves. One core value NILG.AI invests in is team knowledge, both at individual and team levels. We deeply believe that personal growth is a driver for keeping the company thriving. In this blog post, we go through some of the processes we defined to promote Learning […]

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Why and how we changed

Sep 28, 2022 in News

As time passes, any trustworthy company must evolve to improve and give more. For the past four years, we have been doing just that. Finally, the moment came when we saw the need to transmit our more ambitious vision. Our starting point When we went into business in 2018, the team was just Kelwin and […]

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Article
Turning classes into inputs

Sep 22, 2022 in Technical

Let’s face it, we all have worked on an ML project where we had to predict a ridiculously high number of classes. Large enough to make the number of observations per class into an embarrassingly small subset. Most people model these tasks as a multiclass classification problem where, for each input observation, we must predict […]

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NILG.AI in the AI community

Sep 15, 2022 in News

Connecting and being connected greatly impact how we positively interact with others. At NILG.AI, we are not only focused on helping businesses unlock their capabilities, but we also make our mission sharing with the world how to leverage the power of Artificial Intelligence (AI). This knowledge-centered culture is one of our greatest pride and a […]

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A new era has arrived for NILG.AI

Sep 5, 2022 in News

Happy birthday! Today is NILG.AI’s fourth anniversary. Happy birthday to us! For most humans, birthdays are a synonym for getting older and leaving the good days of the youth behind. For companies, they are a moment to reflect on everything we achieved, recognize how far we have come, and envision how far we will go. […]

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Article
Privacy Preserving Machine Learning

Aug 16, 2022 in Technical

Trip data is any type of data that connects the origin and destination of a person’s travel and is generated in countless ways as we move about our day and interact with systems connected to the internet. But why is trip data sensitive? The trips we take are unique to us. Researchers have found that […]

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Article
Local vs. global optimization

Jun 23, 2022 in Technical

Is the fastest route always the best? This article may give you a different perspective if your answer is yes. Normally there are multiple ways to tackle a given problem or task, and the optimization field is no different, as there are different approaches we can take to find an optimal solution. The choice of […]

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Article
Achieving diverse product recommendations

May 25, 2022 in Use Case

In this blog post, you’ll learn about some examples of decision processes you can use in recommender systems: do you see any usage for recommending less popular products as a way to improve your business? You will see it now! The Use Case Let’s imagine a use case where you are building a MOOC platform […]

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