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Cohere For AI Presents: Colin Raffel
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Colin Raffel (UNC Chapel Hill, Hugging Face) joins Ellie Evans (Cohere) for a fireside chat about his path to ML research. From DIY electronic kits and guitar pedals to academia, hear all about Colin Raffel's research journey.
00:00 Introducing C4AI
01:21 Introducing Colin
02:53 Why do you do ML research?
08:10 Decisions made and lessons learned from a research journey
11:44 Why the transition from industry to Academia?
17:20 Academic ML research in the era of scale and giant models
22:27 How do you decide on what topics to research?
26:12 How do you drive the momentum of a research group?
28:58 Building ML models like we build open-source software
32:58 Advice to students who are just starting their research journey
35:54 Music Machine Learning Research
40:13 What makes PhD applicants stand out
43:17 Advice to early-stage researchers
45:13 What is stopping collaborative models? Research or engineering?
47:28 Favorite and least favorite things about working in academia
00:00 Introducing C4AI
01:21 Introducing Colin
02:53 Why do you do ML research?
08:10 Decisions made and lessons learned from a research journey
11:44 Why the transition from industry to Academia?
17:20 Academic ML research in the era of scale and giant models
22:27 How do you decide on what topics to research?
26:12 How do you drive the momentum of a research group?
28:58 Building ML models like we build open-source software
32:58 Advice to students who are just starting their research journey
35:54 Music Machine Learning Research
40:13 What makes PhD applicants stand out
43:17 Advice to early-stage researchers
45:13 What is stopping collaborative models? Research or engineering?
47:28 Favorite and least favorite things about working in academia
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