Ashish Vaswani(born 1986) 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]
Ashish Vaswani | |
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| Born | 1986 |
| Alma mater | |
| Known for | Transformer (deep learning architecture) |
| Scientific career | |
| Fields | |
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| Thesis | Smaller, Faster, and Accurate Models for Statistical Machine Translation (2014) |
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Career
editVaswani 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 under the supervision of Prof. David Chiang.[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 has since left the company.[13][14]
Notable works
editVaswani'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
edit- ^ "Ashish Vaswani". scholar.google.com. Retrieved 2023-07-11.
- ^ Vaswani, Ashish; Shazeer, Noam; Parmar, Niki; Uszkoreit, Jakob; Jones, Llion; Gomez, Aidan N; Kaiser, Łukasz; Polosukhin, Illia (2017). "Attention is All you Need" (PDF). Advances in Neural Information Processing Systems. 30. Curran Associates, Inc.
- ^ "Inside the brain of ChatGPT". stackbuilders.com. Retrieved 2023-07-12.
- ^ "Understanding ChatGPT as explained by ChatGPT". Advancing Analytics. 2023-01-18. Retrieved 2023-07-12.
- ^ Seetharaman, Deepa; Jin, Berber (2023-05-08). "ChatGPT Fever Has Investors Pouring Billions Into AI Startups, No Business Plan Required". Wall Street Journal. ISSN 0099-9660. Retrieved 2023-07-12.
- ^ "Introducing Adept".
- ^ "Top ex-Google AI researchers raise $8 million in funding from Thrive Capital". The Economic Times. May 4, 2023.
- ^ Vaswani, Ashish; Shazeer, Noam; Parmar, Niki; Uszkoreit, Jakob; Jones, Llion; Gomez, Aidan N.; Kaiser, Lukasz; Polosukhin, Illia (May 21, 2017). "Attention is All You Need". arXiv:1706.03762 [cs.CL].
- ^ Shead, Sam (2022-06-10). "A.I. gurus are leaving Big Tech to work on buzzy new start-ups". CNBC. Retrieved 2023-07-12.
- ^ Team, OfficeChai (February 4, 2023). "The Indian Researchers Whose Work Led To The Creation Of ChatGPT". OfficeChai.
- ^ "Ashish Vaswani's webpage at ISI". www.isi.edu.
- ^ "Transformer: A Novel Neural Network Architecture for Language Understanding". ai.googleblog.com. August 31, 2017.
- ^ Rajesh, Ananya Mariam; Hu, Krystal; Rajesh, Ananya Mariam; Hu, Krystal (March 16, 2023). "AI startup Adept raises $350 mln in fresh funding". Reuters – via www.reuters.com.
- ^ Tong, Anna; Hu, Krystal; Tong, Anna; Hu, Krystal (2023-05-04). "Top ex-Google AI researchers raise funding from Thrive Capital". Reuters. Retrieved 2023-07-11.
- ^ "USC Alumni Paved Path for ChatGPT". USC Viterbi | School of Engineering.
- ^ Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (May 24, 2019). "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding". arXiv:1810.04805 [cs.CL].