Will I grok variational autoencoders in 2 weeks?
6
8
แน114แน102
resolved May 30
Resolved
NO1D
1W
1M
ALL
This market resolves to YES if on day of market close I understand variational autoencoders "deeply enough". That standard is basically "given a whiteboard I could explain to you all the important parts without reference material, and won't have any known big holes in my understanding".
I started working at OpenAI recently. Tried reading the paper a bit, but it was too math-thick to process. Feel like I ought to have all the preconditions to understand them, maybe might need a bit more of refresher on graphical models. Variational autoencoders are one thing I've wanted to grok for a long time (say 1 year at least) but didn't yet get around to studying deeply enough. They compete with many other things that could grab my attention.
Get แน200 play money
๐ Top traders
# | Name | Total profit |
---|---|---|
1 | แน13 | |
2 | แน7 | |
3 | แน4 |
Related questions
Related questions
Will it be possible to disentangle most of the features learned by a model comparable to GPT-4 this decade?
39% chance
Will it be possible to disentangle most of the features learned by a model comparable to GPT-2 this decade?
86% chance
Will I complete Practical Deep Learning for Coders in 2024?
68% chance
When will a language model be fine-tuned via self-play or expert iteration and achieve significant performance increase?
2025
Will it be possible to disentangle most of the features learned by a model comparable to GPT-3 this decade? (1k subsidy)
55% chance
Will mechanistic interpretability be essentially solved for GPT-2 before 2030?
22% chance
Will I understand a causal decision theorist/frequentist/libertarian free will believer before the end of 2024?
38% chance
Will a Large Language Model prove an important math theorem by end of 2024?
9% chance
In 2026, will it be apparent deep learning hit a non-transient wall at some point in 2023-2025?
21% chance
What will be true of Grok-2?