lukasga

4 ms·

1.
by lukasga 2y ago
The story is that it is because Alfred Nobel was cheated on by a mathematician (hilarious, but unconfirmed) http://nobelprizes.com/nobel/why_no_math.html#story
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by lukasga 2y ago
What does "Data flywheel" refer to here? Is it the continuous and immediate processing of user input while you're still speaking?
3.
by lukasga 2y ago
Maybe a bit outdated now, but reminds me of LSTMs from the recurrent update of a memory / hidden state with gating. I remember one of the biggest problems with such RNNs being vanishing gradients as a result of the long context, which
4.
by lukasga 3y ago
Love the site, but the one thing I am missing is instantly seeing what papers are trending right now, instead of having to manually select a timeframe. Think hacker news frontpage. Would be interesting to add a "hot" filter, or si
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by lukasga 3y ago
Spotify recently open sourced Voyager (continuation of Annoy), which uses HNSW. https://github.com/spotify/voyager
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by lukasga 3y ago
Can relate to this problem a lot. I have considered starting using a Docker dev container and making a base image for shared dependencies which I then can customize in a dockerfile for each new project, not sure if there's a better alt
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by lukasga 3y ago
Original paper: https://arxiv.org/abs/2310.06825 More digestible announcement: https://mistral.ai/news/announcing-mistral-7b/
8.
by lukasga 3y ago
Article: https://newsroom.spotify.com/2023-09-25/ai-voice-translation...
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by lukasga 3y ago
I saw that Spotify recently released a similar feature for selected podcasts, could anyone recommend some recent research papers related to voice translation? Would be really interested in reading!
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by lukasga 3y ago
This study was done at my uni, and the legitimacy and rigor of it was questioned and investigated by the university. However, it was ultimately not deemed to be inappropriate. Some interesting info is that the single picture that was shown
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by lukasga 4y ago
Fascinating article, I feel like quanta always puts out high quality stuff. I don't know if I misunderstood though, but the article mentions: "In subsequent steps of the algorithm, should it pick parameters that we have already pi
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by lukasga 4y ago
I'm doing my thesis right now in diffusion models (for audio) and have experienced a lot of the same things you mention. One paper which I found illuminating was this one: https://proceedings.mlr.press/v139/nichol2
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by lukasga 4y ago
I wonder which specific ML models they're using, and if it's something along the lines of Whisper