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Microsoft Innovation Theater: Massive Deep Learning Language Models and the Application to Life Sciences
Session Chair(s)
Microsoft Corporation
, Microsoft Corporation, United States
Massive deep learning language models, such as BERT and GPT-3, have improved the state of the art on nearly every natural language processing task. Microsoft continues to advance this field and believe that better natural language generation can be transformational for a variety of life science applications. Microsoft Project Turing is introducing Turing Natural Language Generation (T-NLG), one of the largest models ever published at 17 billion parameters, which outperforms the state of the art on a variety of benchmarks and excels when applied to practical tasks in life sciences.
Speaker(s)
Mario Inchiosa
Principal Data Scientist, Microsoft, United States
Casey King
Director of Strategy and Innovation, Office of the CTO, HLS, Microsoft, United States
Robert Horton
Senior Data and Applied Scientist, Microsoft, United States
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