Multimodal, Multi-Lingual NLP at Hugging Face with John Bohannon and Douwe Kiela - #589
Published:Aug 29, 2022 15:59
•1 min read
•Practical AI
Analysis
This podcast episode from Practical AI features a discussion with Douwe Kiela, the head of research at Hugging Face. The conversation covers Kiela's role, his evolving perspective on Hugging Face, and the research being conducted there. Key topics include the rise of transformer models and BERT, the shift towards multimodal problems, the significance of BLOOM (an open-access multilingual language model), and how Kiela's background in philosophy influences his views on NLP and multimodal ML. The episode provides insights into Hugging Face's research agenda and future directions in the field.
Key Takeaways
- •The podcast episode focuses on Hugging Face's research direction, particularly in multimodal and multilingual NLP.
- •Key topics include the impact of transformer models, the importance of BLOOM, and the shift towards solving multimodal problems.
- •Douwe Kiela's background in philosophy influences his perspective on the future of NLP and multimodal ML.
Reference
“We discuss the emergence of the transformer model and the emergence of BERT-ology, the recent shift to solving more multimodal problems, the importance of this subfield as one of the “Grand Directions'' of Hugging Face’s research agenda, and the importance of BLOOM, the open-access Multilingual Language Model that was the output of the BigScience project.”