Research shows that translating only specific parts of a prompt improves large language model performance across multiple NLP ...

2. *Technology Overview: The approach presented in the repository likely revolves around the use of **transformer models, a popular deep learning architecture originally developed for natural language ...

Developed an Automated Text Summarization System using Hugging Face Transformers to extract key information from large documents. Implemented Abstractive & Extractive Summarization with BART, T5 ...

Inception Labs released Mercury Coder, a new AI language model that uses diffusion techniques to generate text faster than ...

In a paper published in National Science Review, a team of Chinese scientists developed an attention-based deep learning model, CGMformer, pretrained on a well-controlled and diverse corpus of ...

Unlike artificial language models, which process long texts as a whole, the human brain creates a "summary" while reading, ...

A small team of AI engineers at Zoom Communications has developed a new approach to training AI systems that uses far fewer ...

The researchers utilized transformer ... year period using the Twitter API. By preprocessing the text data and applying advanced deep and machine learning techniques, the models were trained ...