Pircalabu Stefan
Bio
I love writing about life and technology. Really passionate about all technological advances and Artificial Intelligence!
Stories (51/0)
3 things all data scientists should add to the new year’s resolution list
The new year is almost here, and we all know this is the time for new year’s resolutions, which we most likely won’t follow through to the end. This is happening to all of us, you’re not alone. That’s why I recommend that you make a short list containing what you want to do in 2023 since if it’s too long, you and I both know you won’t follow it to the end. My advice is to add only the top 3 things you want to change in your life, for the next year. If there is something really big and important for you, then just make it one single thing you want to change in the next year. In this article, I will describe 3 things I think any data scientist should do in the next year so that they become better professionals and better humans. Furthermore, I will give you an important bonus resolution that you definitely should follow, for your mental health.
By Pircalabu Stefanabout a year ago in 01
ChatGPT talks about Meta’s AI — data2vec 2.0
Intro Do you remember that old man called Facebook, which turned into Meta not so long ago? It seems that they are back in action, releasing data2vec 2.0 on December 15. Just after the release of ChatGPT. It seems the competition is heating up, but that is extremely fun for us, the ones who like using their new tools (to-be-read toys). In this article, I asked ChatGPT to talk about Data2vec. Here’s what he had to say.
By Pircalabu Stefanabout a year ago in 01
Nuclear Fusion
How would you feel having a sun burning in your backyard? At the first glance, pretty scared, right? But what if that tiny sun would give you an almost infinite amount of free electricity? To render your electricity bill null and allow you to mine as much bitcoin as you’d like. Well, now it feels like the risk is worth it, isn’t it?!
By Pircalabu Stefanabout a year ago in 01
Model Training and Evaluation
Training your network the right way can make the difference between having a high-performance model, and having a failure of a model. There are several issues that may arise before and after training your network, that impairs its overall performance. However, the most well-known and also most prevalent issues are by far overfitting and underfitting. In this article, I will describe both of them shortly, and then give you some useful ways in which you can try and fix them or prevent them from happening in your neural network model. Let's get into it!
By Pircalabu Stefanabout a year ago in 01
The ultimate AI
Once upon a time, in a world not so different from our own, a group of brilliant scientists and engineers set out to create the ultimate artificial intelligence. They worked tirelessly, pouring all of their knowledge and skills into the project, and after many long years, they finally succeeded.
By Pircalabu Stefanabout a year ago in Fiction
Passwords and pranks
One day, Bob was having a terrible day. He woke up late for work, spilled coffee all over his shirt, and forgot his lunch on the kitchen counter. But things only got worse when he sat down at his desk and tried to log into his computer.
By Pircalabu Stefanabout a year ago in Fiction
Above
Blue sky above me Endless and vast, touches earth And infinity.
By Pircalabu Stefanabout a year ago in Poets