Here You’ll Find Our Insights On AI Technology

and other stuff we like writing about
September 11, 2026

Rebuilding a Football Match in 3D: Exploring the SoccerNet 2026 Winning Solution

We took the winning solution, DENSER, and ran it ourselves. In this post we go through how it works, and answer three questions along the way. How is the data built? How many cameras are really needed? And could this be done with a real football match?
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March 25, 2025
The Rise of AI Agents

Curious about AI agents? We explore what they are, how to use them, platforms for building them, and some limitations to consider. Discover how these AI systems are simplifying complex tasks by turning natural language into action!

Valeria Romero
October 29, 2024
Local deployment of Llama 3.2 3B vs. GPT-4o: A deep dive into fine-tuning for specialized content creation

We’re testing a locally deployed Llama-3.2 model to generate UEFA Champions League match reports from play-by-play commentary. Starting with a pre-trained 3B model in ollama, we’ll apply LoRA fine-tuning with unsloth and compare performance, hardware needs, and key tuning parameters.

Enzo Pacilio
October 9, 2024
Fine-Tuning GPT-4: Crafting Journalist-Like UEFA Champions League Match Reports

In this post, we explore fine-tuning GPT-4o for generating authentic, engaging football match reports from play-by-play commentary. By retraining the model on a dataset of UEFA Champions League matches, the goal was to craft outputs that mimic professional sports journalism, with rich context, expressive language, and key insights. The process highlighted the strengths of fine-tuning for achieving consistent, domain-specific results, while balancing cost and performance.

Enzo Pacilio
July 22, 2024
Text-to-Speech Models: Multilingual Capabilities and Voice Cloning

Dive into the future of digital interaction with our comprehensive overview of Text-To-Speech advancement. On this article, we explore how TTS is revolutionizing voice cloning with near-human accuracy, multilingual support, and real-time generation. Besides, we delve into XTTS v2's innovative features, including zero-shot voice cloning and fine-tuning, and see how it stacks up against other leading models.

Francisco Cachón
December 15, 2023
Inside the AI Act: Unpacking the Layers of European AI Regulation

The EU's journey towards AI regulation culminated in the political agreement on the AI Act in December 2023. Here’s a comprehensive overview of this AI Act.

Valentina Caprio
July 7, 2023
Streaming pipeline using Kafka

Build a real-time streaming pipeline with Apache Kafka and Amazon MSK. Learn how to generate, ingest, and process streaming data using Python and Kafka. Enable real-time processing, machine learning integration, and intelligent decision-making in your applications.

Emiliano Merlo
May 24, 2023
5 things that LangChain is useful for

Exploring LangChain, an open-source project that is revolutionizing the capabilities of language models. It offers seamless model switching, simplified prompt management, interactive capabilities, memory enhancement, and efficient knowledge extraction. With its versatility and growing community support, LangChain it is a game-changer for language model-powered applications.

Valeria Romero
May 3, 2023
5 things you should know about pandas 2.0

On this article, you will find an overview of the new features and improvements introduced in Pandas 2.0, that can greatly improve data processing, analysis, and visualization workflows

Valeria Romero
February 28, 2023
Using ChatGPT as an Assistant Chatbot: are we there yet?

Exploring the possibility of using ChatGPT or DaVinci as a sales assistant chatbot on an eCommerce store, without the API for external integration.

Marcelo Ortega
February 7, 2022
Measuring objects with Computer Vision and 3D reconstruction

On this article you will learn how to generate a 3D reconstruction from a set of images using Meshroom, and make real-world measurements with it

Marcelo Ortega
April 16, 2021
What Happened at the 2021 NVIDIA GTC?

A review of what was unveiled at this year’s NVIDIA GPU Technology Conference, and what was said about Deep Learning and AI during its sessions

Marcelo Ortega
March 22, 2020
Training on Detectron2 with a Validation set, and plot loss on it to avoid overfitting

From my experience with using the Detectron2 library for object detection and training machine learning models, here's an explanation on how to split a dataset into test, train, and validation sets, register metadata for each, and monitor accuracy on validation while training.

Marcelo Ortega
February 26, 2020
Ball Detection - Machine Learning in Sports

A quick view to the available solutions for automatic ball detection

Gonzalo Cor
August 10, 2019
Training a Hand Detector like the OpenPose one in Tensorflow

Following up on our previous article about Hand Detection, this is the second part of our series about the possibilities of hand recognition technology. Here, we dive the design, training, and testing of a Hand Keypoint detector, a Neural Network capable of detecting and tracking hand movements.

Marcelo Ortega
July 22, 2019
Playing with 3D Body Detection with SMPLify-X

Exploring how to extract a complete 3D human body pose from just a single image using SMPLify-X, a revolutionary method to generate a complex, expressive 3D model of the human body, including hands, face, and body

Marcelo Ortega
July 9, 2019
Into the problem of Hand Recognition

Introducing our series about hand recognition technology, we define the importance of hand recognition, its potential to revolutionize human-device interactions, the evolution of hand recognition technology and the different stages of hand detection and gesture recognition.

Marcelo Ortega

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