Trends in Natural Language Processing with Sameer Singh - #445
2021-01-07 · 82 min · episode 445 · 13 entities
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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
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Trends in Natural Language Processing with Sameer Singh - #445
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Trends in Natural Language Processing with Sameer Singh - #445
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Feed author/publisher: Sam Charrington
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Feed author/publisher: Sam Charrington
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appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
Trends in Natural Language Processing with Sameer Singh - #445
Episode description as stored
Today we continue the 2020 AI Rewind series, joined by friend of the show Sameer Singh, an Assistant Professor in the Department of Computer Science at UC Irvine.
We last spoke with Sameer at our Natural Language Processing office hours back at TWIMLfest, and was the perfect person to help us break down 2020 in NLP. Sameer tackles the review in 4 main categories, Massive Language Modeling, Fundamental Problems with Language Models, Practical Vulnerabilities with Language Models, and Evaluation.
We also explore the impact of GPT-3 and Transformer models, the intersection of vision and language models, and the injection of causal thinking and modeling into language models, and much more.
The complete show notes for this episode can be found at twimlai.com/go/445.