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Tan Vachiramon - Choosing the right algorithm for your real-world problem by Towards Data Scienceratings:
Length:
50 minutes
Released:
Jan 5, 2022
Format:
Podcast episode
Description
2021 has been a wild ride in many ways, but its wildest features might actually be AI-related. We’ve seen major advances in everything from language modeling to multi-modal learning, open-ended learning and even AI alignment.
So, we thought, what better way to take stock of the big AI-related milestones we’ve reached in 2021 than a cross-over episode with our friends over at the Last Week In AI podcast.
***
Intro music:
- Artist: Ron Gelinas
- Track Title: Daybreak Chill Blend (original mix)
- Link to Track: https://youtu.be/d8Y2sKIgFWc
***
Chapters:
0:00 Intro
2:15 Rise of multi-modal models
7:40 Growth of hardware and compute
13:20 Reinforcement learning
20:45 Open-ended learning
26:15 Power seeking paper
32:30 Safety and assumptions
35:20 Intrinsic vs. extrinsic motivation
42:00 Mapping natural language
46:20 Timnit Gebru’s research institute
49:20 Wrap-up
So, we thought, what better way to take stock of the big AI-related milestones we’ve reached in 2021 than a cross-over episode with our friends over at the Last Week In AI podcast.
***
Intro music:
- Artist: Ron Gelinas
- Track Title: Daybreak Chill Blend (original mix)
- Link to Track: https://youtu.be/d8Y2sKIgFWc
***
Chapters:
0:00 Intro
2:15 Rise of multi-modal models
7:40 Growth of hardware and compute
13:20 Reinforcement learning
20:45 Open-ended learning
26:15 Power seeking paper
32:30 Safety and assumptions
35:20 Intrinsic vs. extrinsic motivation
42:00 Mapping natural language
46:20 Timnit Gebru’s research institute
49:20 Wrap-up
Released:
Jan 5, 2022
Format:
Podcast episode
Titles in the series (100)
- 43 min listen