From the dawn of the computer, Allen Turing dreamed of a robot that could communicate using language as a human being. The recent advances in the field of Large Language Models (LLMs) shocked the scientific community when a single model can apply for various natural language processing (NLP) tasks, while the output results are sometimes even better than most human communication skills. Models such as GPT, Claude, Grok, etc. have left their mark on the scientific community. However, it is unclear how much these models understand what they produce, especially in a nuanced theme such as humor. The question of whether computers understand humor is still open (among the decoders, the latest to be checked was GPT-2). We addressed this issue in this paper; we have showed that a fine-tuned decoder (GPT-4o) performed (Mean F1-macro score of 0.85) as well as the best fine-tuned encoder (RoBERTa with a Mean of F1-score 0.86)

In this paper, we present ExtremeBERT, a toolkit for accelerating and customizing BERT pretraining. Our goal is to provide an easy-to-use BERT pretraining toolkit for the research community and industry. Thus, the pretraining of popular language models on customized datasets is affordable with limited resources. Experiments show that, to achieve the same or better GLUE scores, the time cost of our toolkit is over $6\times$ times less for BERT Base and $9\times$ times less for BERT Large when compared with the original BERT paper. The documentation and code are released at https://github.com/extreme-bert/extreme-bert under the Apache-2.0 license.

They are some of the most popular cartoon characters ever created and known the world over - but just what would the likes of Ned Flanders, Rapunzel and Moana look like in real life? Well, the images below offer a glimpse after being created by a digital artist who used artificial intelligence (AI) to help imagine what a host of characters from Disney films to The Simpsons might be like if they were'human'. Hidreley Leli Diao, from Brazil, who grew up watching The Simpsons, Hanna-Barbera shows, and Disney animations, experimented with a piece of software that creates photo-realistic portraits of people who do not actually exist. A digital artist from Brazil has used artificial intelligence software to create photo-realistic portraits showing what popular cartoon characters might look like in real life. FaceApp is a photo-morphing app that uses what it calls artificial intelligence and neural face transformations to make alterations to faces. The app can use photos from your library or you can snap a photo within the app.

What would famous animated characters from movies and TV shows look like in real life? One digital artist has created a fascinating series of AI-assisted "portraits" that provide the answers to that question. "Since I discovered artificial intelligence, I've been challenging myself to do things I would never have imagined doing," Diao tells PetaPixel. "With several studies and a lot of practice, I thought it was time to bring some Disney characters to human life." Diao says he grew up watching the Simpsons, Hanna Barbera shows, and Disney animations that made a big impact on his life.