As deep learning models grow, trying to get a finer and finer grasp of reality, the number of parameters composing them increased, making training more and more expensive. Here we delve into Low-Rank Adaptation LoRA, a method aiming to reduce the dimensionality of the training space within deep learning models during fine-tuning.

Music production for guitar has a lot of options on Linux. We will see how to install the required software, and how to use Guitarix together with Ardour either with the standalone version of Guitarix or with an embedded version inside Ardour.

SymPy is a lightweight symbolic mathematics library for Python under the 3-clause BSD license that can be used either as a library or in an interactive environment. It features symbolic expressions, solving equations, plotting and much more!

Understanding what makes a software Free (as in freedom) has been going on since the beginning of the Free Software movement in the 80’s (at least). This led to the Free Software licenses, which help users to control the technology they use. However, considering the peculiarities of Artificial Intelligence (AI) software, one may wonder whether those licenses account for those.

As deep learning models get better at representing human language, telling whether a text was written by a human being or a deep learning model becomes harder and harder. And because language models reproduce text found online (often without attribution); the risk of considering their output as if they were written by a human changes the reading experience for the reader.

Deep learning have made dramatic improvements over the last decades. Part of this is attributed to improved methods that allowed training wider and deeper neural networks. This can also be attributed to better hardware, as well as the development of techniques to use this hardware efficiently. All of this leads to neural networks that grow exponentially in size. But is continuing down this path the best avenue for success?