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znagengast
searching Neon…
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by
znagengast
2mo ago
Takes me back immediately, really cool!
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znagengast
5mo ago
Maintainer of WhisperKit here, confirming we do exactly that for longform. We search for the longest "low energy" silence in the second half of the audio window and set the chunking point to the middle of that silence. It uses a v
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znagengast
7mo ago
Turns out third party actually gets priority for ANE
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znagengast
3y ago
This did not age well https://twitter.com/Shopify/status/1724079230663979066
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Shopify Storefronts Are Down
(shopifystatus.com)
25 points
by
znagengast
3y ago
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8 comments
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znagengast
3y ago
I have to play devils advocate here because for every one of these cases, there is probably a dozen of similar stories where the ambitious new guy actually did nuke the system with a risky friday release and then logged off for the weekend
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znagengast
3y ago
The thumbs up icon killed me
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znagengast
3y ago
It's also largely dependent on the embeddings model as others have mentioned. Even if wikipedia doesn't have any words specifically referring to that monkey as "weird", the model itself would know to correlate this monke
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znagengast
3y ago
Found the cake https://noclip.website/#Portal/escape_02;ShareData=AZZCH9W7f... [
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znagengast
3y ago
Isn't it crazy that the entirety of human knowledge can be condensed down to fit on an SD card.
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znagengast
3y ago
The page has changed over the years, there used to be a much more apologetic version "Reddit broke (sorry)" https://github.com/reddit-archive/reddit/commit/4778b17e939e... So they actually made the
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znagengast
3y ago
Compared to how much progress the iPhone made from initial launch to now, the potential for this product line is very exciting.
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znagengast
3y ago
What if you split up the training down to the literal vector math, and treated every macbook like a thread in a gpu, with just one big computer acting as the orchestrator?
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znagengast
3y ago
Whoa didn't know about this, cool
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znagengast
3y ago
How feasible would it be out crowdsource the training? I.e. thousands of individual macbooks training a small part of the model and contributing to the collective goal
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znagengast
3y ago
Hey HN! I recently faced a challenge of generating vector embeddings within my Swift app, so I built this library as a "good enough" solution for on-device similarity search without relying on an API. I've got some exciting p
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Show HN: SimilaritySearchKit – A package for local text embeddings with CoreML
(github.com)
7 points
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znagengast
3y ago
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1 comments
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znagengast
3y ago
How are you guys thinking about the embedding generation side of things? It seems like that part has a generally hefty compute cost before it even gets into the index - I just open sourced a swift package to try to make that part as easy as
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znagengast
4y ago
Brings to mind a quote from The Hitchhiker's Guide to the Galaxy: > "Only once you do know what the ultimate question actually is, you'll know what the answer means."
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by
znagengast
8y ago
This would be amazing! At lot of ML use cases are largely unfeasible in lambda on python without serious pruning. Latest version of tensorflow is 150mb uncompressed, add numpy pandas etc to that and it adds up fast. I think 1 GB uncompress