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Natural Language Processing (NLP) has advanced significantly with deep learning, driven by innovations like word embeddings and transformer architectures. Self-supervised learning uses vast amounts of ...

Artur is a copywriter and SEO specialist, as well as a small business owner. In his free time, he loves to play computer games and is glad that he was able to connect his professional career with his ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

Abstract: This paper proposes a GeneraLIst encoder-Decoder (GLID) pre-training method for better handling various downstream computer vision tasks. While self-supervised pre-training approaches, e.g., ...

Roeland Decorte grew up in a nursing home in Belgium, where he learned to spot the subtle early signs of mental decline in small changes to how residents walked or talked. When Decorte was 11, his ...

This study’s research area is artificial intelligence (AI) and machine learning, specifically focusing on neural networks that can understand binary code. The aim is to automate reverse engineering ...