At the time of writing this post (its Polish version was created in April/May 2023), there's still quite a widespread excitement about the possibilities of large language models. These possibilities were spectacularly showcased to us by a solution released at the end of 2022 by OpenAI, and our world will...
When in 2019 I started this blog, I allowed myself to be a little controversial by writing "AI will change the world more than the industrial revolution." Of course, prediction is very difficult, especially if it's about the future (Niels Bohr), but recent developments in machine learning have made me...
In machine learning designing the structure of the model and training the neural network are relatively small elements of a longer chain of activities. We usually start with understanding business requirements, collecting and curating data, dividing it into training, validation and test subsets, and finally serving data to the model....
Looking at the advances in technology over the past few years, it's hard to name two more breakthrough technologies than artificial intelligence and blockchain. The former opened up entirely new possibilities in the fields of data analysis, predictions and robotics. The later one elevated decentralization, transparency and security as a...
Until recently, a large part of the key concepts in the field of artificial intelligence was not so clearly defined. Some of them, such as Deep Learning, were even referred to as "buzzwords", term used mainly by marketing and not strictly translated into scientific areas. Now, the basic concepts seem...
In the previous three parts of the tutorial, we learned about convolutional networks in detail. We looked at the convolution operation, the convolutional network architecture, and the problem of overfitting. In the classification of the CIFAR-10 dataset we achieved 81% on the test set. To go further we would have...
