Allen Institute for Artificial Intelligence

NLP Highlights

Science EN ↓ Epizody: 4

**The podcast is currently on hiatus. For more active NLP content, check out the Holistic Intelligence Podcast linked below.**Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. All views expressed belong to the hosts/guests, and do not represent their employers.

Určitě navštivte web podcastu a podpořte jeho tvůrce: soundcloud.com

Autor

Allen Institute for Artificial Intelligence

Kategorie

Science

Web podcastu

soundcloud.com

Nejnovější epizoda

29. úno 2024

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Epizody

Are LLMs safe? 29.02.2024

Curious about the safety of LLMs? 🤔 Join us for an insightful new episode featuring Suchin Gururangan, Young Investigator at Allen Institute for Artificial Intelligence and Data Science Engineer at Appuri. 🚀 Don't miss out on expert insights into the world of LLMs!

"Imaginative AI" with Mohamed Elhoseiny 08.01.2024

This podcast episode features Dr. Mohamed Elhoseiny, a true luminary in the realm of computer vision with over a decade of groundbreaking research. As an Assistant Professor at KAUST, Dr. Elhoseiny's work delves into the intersections of Computer Vision, Language & Vision, and Computational Creativity in Art, Fashion, and AI. Notably, he co-organized the 1st and 2nd Workshops on Closing the Loop b...

142 - Science Of Science, with Kyle Lo 28.12.2023

Our first guest with this new format is Kyle Lo, the most senior lead scientist in the Semantic Scholar team at Allen Institute for AI (AI2), who kindly agreed to share his perspective on #Science of #Science (#scisci) on our podcast. SciSci is concerned with studying how people do science, and includes developing methods and tools to help people consume AND produce science. Kyle has made several...

141 - Building an open source LM, with Iz Beltagy and Dirk Groeneveld 29.06.2023

In this special episode of NLP Highlights, we discussed building and open sourcing language models. What is the usual recipe for building large language models? What does it mean to open source them? What new research questions can we answer by open sourcing them? We particularly focused on the ongoing Open Language Model (OLMo) project at AI2, and invited Iz Beltagy and Dirk Groeneveld, the resea...

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