Small talks about ideas that work.
What is Generative AI, and when it started?
Generative models have been around for a long time and were used to generate sequential data, like speech and time series. In natural language processing (NLP), a traditional method to generate sentences was to learn the distribution of words and then find the best sequence. However, this method wasn't very practical for longer sentences. To solve this problem, neural networks were introduced for language modeling tasks. These allowed for modeling relatively long dependency in language. And later, scientists introduced the next generation of models and mechanisms to control memory during training, which made the models even better at generating language
World AI Cannes Festival 2023
What a fantastic event! Corp - Agency brought together experts and top voices in the field of Artificial Intelligence, including Yann LeCun, Thomas Wolf, Stuart Russell, Aidan Gomez , JoAnn Stonier, Wolfgang Hauner, Manuela Veloso, Philippe Rambach, Geertrui Mieke De Ketelaere, even Minister for Digital Transition and Telecommunications of French
The AI Maturity Model, do we really need MLOps?
In recent years, the concept of DevOps has gained popularity as a way to address issues in software development and improve collaboration, and knowledge sharing between development and operations teams. DevOps emphasizes automation through continuous integ
The advantages of self-learning agents with Reinforcement Learning
Did you know that your mobile device, IOS or Android has a built-in self-learning agent? Your iPhone learns from your daily charging habits to improve the lifespan of your battery. For Android, the company that stands behind these type of features - Deepmind, helped to make the system more energy efficient by creating Adaptive Battery and Adaptive Brightness.