Fine-tuning with limited hardware resources

In 2023, we are witnessing a boom in language models and their practical applications. ChatGPT has sparked interest in replicating its success, and many teams have published the results of their work. A large portion of the new models have been released under the Apache 2.0 license, which allows for their free modification, use, and …

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Categories NLP

Welcome tomorrow – how AI will shape the world by 2032

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 think about how AI will …

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Logistic Regression for binary classification

Logistic regression and Keras for classification

Today I would like to present an example of using logistic regression and Keras for the binary classification. I know that this previous sentence does not sound very encouraging 😉 , so maybe let’s start from the basics. We divide machine learning into supervised and unsupervised (and reinforced learning, but let’s skip this now). Supervised …

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Handwriting digit recognition Keras MNIST

Handwritten Digit Recognition with Keras

Shape recognition, and handwritten digit recognition in particular, is one of the most graceful topics for anyone starting to learn AI. There are several reasons, but the two most important are the ease with which we can use well-prepared ready-made datasets and the ability to visualize these data. From this tutorial you will learn: Okay, …

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