Backup of The Bitter Lesson
Some time ago “The Bitter Lesson” web page went down for some reasons. This is a verbatim copy of this valuable lesson for all ML community.
Here is a collection of my hobbies, some tests, small projects, failed experiments and some successful ones, too!
And remember! “If things are not failing, you are not innovating enough.“ [Elon Musk]
Check out my GitHub repos for some small contributions to the FOSS world.
Let’s connect!
Have a question? Or need help with a similar problem? Find me on your favourite channel!
Some time ago “The Bitter Lesson” web page went down for some reasons. This is a verbatim copy of this valuable lesson for all ML community.
In a recent tweet, Pytorch announced that they will no longer publish packages to Anaconda.
Below is an alternative that works, for now.
Organizations adopting Tilebox find their scientists focused on algorithms while their infrastructure teams efficiently manage resources and costs. How is this possible?
LLMs are quite powerful and can solve a wide range of problems! Employing them is easy but assessing their performance in production is still a hard problem.
An overconfident model can ruin your business faster than a low performer.
Read on for an approach. Live demo!!!
Take a closer look at the step-by-step breakdown of Mask R-CNN to make it easier to understand how it works. This guide will help you navigate its implementation in torchvision, making the complex process more accessible and straightforward.