Английская Википедия:Ashish Vaswani
Шаблон:Short descriptionШаблон:Infobox biography
Ashish Vaswani is a computer scientist working in deep learning,[1] who is known for his significant contributions to the field of artificial intelligence (AI) and natural language processing (NLP). He is one of the co-authors of the seminal paper "Attention Is All You Need"[2] which introduced the Transformer model, a novel architecture that uses a self-attention mechanism and has since become foundational to many state-of-the-art models in NLP. Transformer architecture is the core of language models that power applications such as ChatGPT.[3][4][5] He was a co-founder of Adept AI Labs[6][7] and a former staff research scientist at Google Brain.[8][9]
Career
Vaswani completed his engineering in Computer Science from BIT Mesra in 2002. In 2004, he moved to the US to pursue higher studies at University of Southern California.[10] He did his PhD at the University of Southern California.[11] He has worked as a researcher at Google,[12] where he was part of the Google Brain team. He was a co-founder of Adept AI Labs but left the company.[13][14]
Notable works
Vaswani's most notable work is the paper "Attention Is All You Need", published in 2017.[15] The paper introduced the Transformer model, which eschews the use of recurrence in sequence-to-sequence tasks and relies entirely on self-attention mechanisms. The model has been instrumental in the development of several subsequent state-of-the-art models in NLP, including BERT,[16] GPT-2, and GPT-3.
References
