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  1. How to use MetalLB LoadBalancer for k3s

    ServiceLB has some limitations that one may want to alleviate.

  2. Tackling AI obesity with LoRA

    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.

  3. Music production for guitar has a lot of options on Linux.

  4. SymPy: a powerful math library

    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.

  5. A Truly Free AI

    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).

  6. 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.

  7. The deep learning obesity crisis

    Deep learning have made dramatic improvements over the last decades.

  8. How the Integrated Gradients method works?

    For artificial intelligence (AI) transparency and to better shape upcoming policies, we need to better understand the AI’s output.

  9. Unfortunately, human errors are bound to happen.

  10. The accuracy of a model is often criticized for not being informative enough to understand its performance trade offs.

  11. What does a transformer?

    Transformers are giant robots coming from Cybertron.

  12. Computers can't sustain themselves

    The situation where an unskilled user can enjoy a well-working computer does only last so long.1 Either the user becomes good at maintaining the computer, or it will stop working correctly.

  13. On Biometric Authentication

    Biometric systems such as fingerprint readers or facial recognition may be appealing, but they have drawbacks worth mentioning.

  14. How to install the original Doom on Fedora 31

    If you want to distance yourself from the craziness of the world around and happen to be a computer geek, only a few things are more satisfying than blasting hordes of demons on Doom.

  15. As Artificial Intelligence is solving increasingly hard problems, it’s becoming more and more complex.

  16. A PyTorch RNN with variable sequence lengths

    A Recurrent Neural Network (RNN) often uses ordered sequences as inputs.

  17. Algorithms fairness

    Software being more and more used to get metrics and insights for critical areas of our societies such as our healthcare system, crime recidivism risk assessment, job application review or loan approval, the question of algorithms fairness is becoming more

  18. Wanting to brush up my PyTorch skills, I’ve started to follow this tutorial.

  19. Why is online privacy understated

    There’s a lot of guides explaining how to protect your online privacy, but none of them tell why they exist in the first place.

  20. Despite what the bad media are saying, computers haven’t understood human language (yet).

  21. This procedure has been tested on Fedora 29, on a HP laptop with this graphical card: NVIDIA Corporation GP107M GeForce GTX 1050 Mobile (rev a1) The commands have to be run as the root user.

  22. With its recent gain in popularity, a lot of things have been called “Artificial Intelligence”.

  23. Stochastic Gradient Descent and its variants

    Stochastic Gradient Descent (SGD) is used in many Deep Learning models as an algorithm to optimize the parameters (the weights of each layer).

  24. On Deep Learning and Free Software

    As Deep learning is becoming more and more popular, there is an ongoing debate on whether it’s possible to create Deep Learning applications with a Free Software license.

  25. This procedure has been tested on Fedora 28, on a HP laptop with this graphical card: NVIDIA Corporation GP107M GeForce GTX 1050 Mobile (rev a1).

  26. On trading security for convenience

    If we have to choose between a convenient system and a secure one, we often pick the former rather than the latter.

  27. As developpers we are doing the easy work

    We should not think that programming is complicated.