AI Research @ DiliTrust

AI Research @ DiliTrust

Talks and presentations

Measure carbon emissions of ML projects, in python

February 24, 2023

Talk, Confoo, Montreal

The environmental cost of ML has been increasing in recent years, due to its ever-increasing adoption in many software applications, as well as their size and complexity. Many parameters impact the carbon cost of a python program, such as the hardware used and the location of its execution. In this talk, we present the internals of Code Carbon, a library developed to better estimate the impact of ML projects, throughout their global life cycle.

The future of Artificial Intelligence is contrastive

February 24, 2023

Talk, Confoo, Montreal

Applying AI to real world problems in a supervised fashion requires large set of data covering all aspects of the problem we are solving. In reality, it’s impossible to build such dataset thus giving our model limited understanding of the problem leading to absurd predictions. The solution is Contrastive Learning which learns similarities and differences by contrasting samples against each other therefore limiting the need for human supervision.

Comment les machines comprennent-elles le langage humain ?

February 23, 2023

Talk, Confoo, Montreal

Le Traitement Automatique du Langage (TAL) alimente de nombreuses technologies modernes telles que les chatbots ou la détection de spam. À la base du TAL se trouve le besoin de comprendre du texte—les octets bruts ne permettent pas d’extraire un réel sens. Cela justifie alors l’utilisation de représentations sophistiquées que nous introduisons ici: comptage (ex. TFIDF), vecteurs statiques (ex. word2vec) et réseaux de neurones (ex. Transformers).

What Makes A Great Software Engineer?

February 22, 2023

Talk, Confoo, Montreal

Is it your technical skills, your expertise, your social soft skills or your teamwork that make you a great software engineer? The next decade might completely change the perspective considering all significant progress that has been made in the machine learning field. So will the future of software engineers depend on our ability to describe a problem for a machine? Does it mean that we need to think differently about our team and expertise?

Traitement Automatique du Langage sur du texte

April 19, 2019

Talk, Devoxx, Paris

A travers cette présentation vous verrez les différents mécanismes de traitement automatique du langage (ou NLP en anglais) appliqués au texte. Nous ferons un état de l’art sur la comprehension et l’extraction d’informations en commençant par les concepts simples, puis leur évolutions majeures avec le Deep Learning, pour finir avec les dernières publications fin 2018 avec l’apprentissage non supervisé pour la production de modèles de langage, qualifié par certains, de revolution dans le domaine.

Machine Learning Applied to Legal Practice

January 23, 2019

Talk, NLP Meetup, Paris

Dilitrust is a contract analytics and management solution powered by artificial intelligence. Dilitrust helps companies manage and make the most of their contract portfolio by identifying relevant information and data to manage key contractual commitments during the whole life of the contract. Our technology rests on a combination of specifically trained Natural Language Processing (NLP) algorithms and advanced machine learning techniques.