How to translate words that cannot be translated? A number of artificial intelligence models have come out in recent months to turn text into images. Words are the key to this magic, but not all words can be translated. There are wonderful words in various languages that cannot be translated…

Art masterpieces are a risk at any time; AI and new technologies can give a hand — In recent months there has been talk about how artificial intelligence can create images from textual prompts. Therefore, when one associates the words artificial intelligence and art, one immediately thinks of DALL-E, Stable Diffusion, and other algorithms. …

Amazonia is at risk and AI could help preserve it — Drug traffickers, gold diggers, loggers, farmers, and ranchers are invading the Amazon rainforest. The pandemic and Bolsonaro’s presidency have exacerbated an already bleak situation. How can science and artificial intelligence help save the most essential rainforest? The green lung of earth

AI models are now able to generate images from text, what if we furnish them with the words of great poets? A dreamy trip between poetry and AI. — Introduction Poetry is nothing more than the juxtaposition of skillfully chosen words. A sequence of characters, yet capable of provoking emotion. An art that is difficult to explain and codify. Listening to or reading a poem, we almost feel as if we can feel emotions, chills, or by closing our eyes…

Will be the transformer the model leading us to artificial general intelligence? Or will be replaced? — The transformer has dominated the world of artificial intelligence for six years, achieving state-of-the-art in all subdomains of artificial intelligence. From natural language processing (NLP) to computer vision to sound and graphs, there are dedicated transformers with excellent performance. How much longer will this domain last?

From great powers derive great responsibilities: regularization allows AI to exploit its power — Why do tree-based models outperform neural networks for tabular data? For various reasons, deep learning models fail to compete with tree-based models for tabular data. Considering how widespread tabular data are this is a decisive unmet need. Tabula Rasa: Why Do Tree-Based Algorithms Outperform Neural Networks Tree-based algorithms are the winner in tabular data: Why?levelup.gitconnected.com

The OpenAI’s infinite saga, a new Orca in LLM’see, and much more The most interesting news, repository, articles, and resources of the week Check and star this repository where the news will be collected and indexed: GitHub — SalvatoreRa/ML-news-of-the-week: A collection of the the best ML news every week… A collection of the the best ML news every week (research, news, resources) — GitHub — SalvatoreRa/ML-news-of-the-week…github.com

Transfer knowledge from one model to another is harder than you think — Even if a model has learned complex knowledge about the dataset, this does not automatically mean that it can transfer it to another model. How can we measure the knowledge of a teacher model? How can we measure how much of this knowledge is passed on to the student? …

A recap of an incredible AI year This article is a brief recap of the most interesting trends and events that have most defined this 2023. Scaling the context length