January 10, 2025

By Ignacio Aristimuño

NVIDIA-Merlin: A framework for building recommender-systems

Over the last years recommender systems gained huge popularity in the machine learning and data science community due to their impact in digital and e-commerce platforms revenues by suggesting specific items to customers that would be interesting in them. Nevertheless, when building recommender systems a wide range of obstacles are encountered. To address those challenges, … Continued

Deep Learning techniques for Automatic Text Summarization

Intro We live in a world where data availability grows exponentially every day. Never before have we had so many text documents to process. While data is a very powerful currency, having too much data available directly affects our capacity to consume it. As an old saying goes, “too much information kills information”. This issue … Continued

First steps in implementing a multi-head architecture

Intro In life, we are constantly dealing with several situations at the same time. This comes naturally to us, and most times we are not even aware of the fact that we are doing it. For instance, while driving a car, we must certainly be aware of different things and make real-time decisions accordingly: detecting … Continued

How to quickly implement a text search system using pyvespa

Intro In modern information retrieval systems, machine learning models are leveraged. These models are much heavier and present various challenges to implement, which means that custom solutions are almost impossible to scale and distribute. Existing solutions like Elastic Search lack functionality as they are not designed for deep learning models. This is where Vespa comes … Continued

Marvik Digest #5

🚀 Welcome to the latest Marvik Digest 🚀 Last month we covered some interesting stories involving multimodal transformers, stable diffusion, multilingual language models and more.  ➡️ Want us to cover a specific topic? DM or ping us to [email protected] to send us your suggestions. Stay tuned!   Hugging Face’s new multimodal Transformer model Great news … Continued

Multi-image similarity: an approach for a recurring problem

Motivation Images are everywhere. You may know the expression ‘an image is worth a thousand words’. The amount of information a single look at an image can give us is huge, and we can process it in as little as 13 milliseconds!  As human beings, we think in terms of images and that’s why we … Continued

Marvik Digest #4

🚀 Welcome to the latest Marvik Digest 🚀 Last month we covered some interesting stories involving new advances in Conversational AI, NVIDIA’s latest achievement on neural graphics primitives, the challenges of Real-Time Bidding in digital advertising, and more.  ➡️ Want us to cover a specific topic? Reach out to [email protected] to send us your suggestions. … Continued

Marvik Digest #3

🚀 Welcome to the latest Marvik Digest 🚀 This month we have some interesting stories involving large language models, the challenge of managing AI projects, a deep dive into Marvik and how we approach problems as a team, and more.  ➡️ Want us to cover a specific topic? DM or ping us to [email protected] to … Continued

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