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 ...
The potential of multi-agent systems is a significant opportunity for many businesses in different fields, but there are ...
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 ...