zshn25

9 ms·

1.
by zshn25 5mo ago
It would be interesting to benchmark a short training / inference run on the latest of TPU vs. NVIDIA GPU per cost basis
2.
by zshn25 5mo ago
Splitting TPUs into dedicated training vs inference chips feels like an admission that the bottleneck has shifted from FLOPs to memory bandwidth + latency. Are future gains to come more from memory/system design than raw compute scalin
3.
by zshn25 5mo ago
Thank you for your kind words. Great catalog. I found WordFor already.
4.
by zshn25 5mo ago
Open-source, free version of this is Stirling PDF https://github.com/Stirling-Tools/Stirling-PDF where you can do very accurate OCR while keep the formatting.
5.
by zshn25 5mo ago
Stirling PDF https://github.com/Stirling-Tools/Stirling-PDF is a free self-hosted PDF tool that can do very accurate OCR while keeping the formatting.
6.
by zshn25 5mo ago
I first compute the embeddings to the dictionaries and store these. At query-time, when the user inputs the description, its embeddings are again computed by a lighter model. Then comparison happens between this and the stored ones
7.
Show HN: WordFor – a free, open, private reverse dictionary running on browser(wordfor.xyz)
4 points by zshn25 5mo ago|3 comments
8.
by zshn25 5mo ago
The comparison to automobiles changing streets is thrown around a lot. But I feel AI is fundamentally different. It is not a technological change like the internet which brought us huge amounts of opportunities in so many different directio
9.
by zshn25 5mo ago
Sorry, how did you calculate the 10.25B?
10.
by zshn25 5mo ago
Got it. Thanks
11.
by zshn25 5mo ago
~I see. What’s the 6?~ Nevermind, the other reply clears it
12.
by zshn25 5mo ago
What do all the numbers 6-35B-A3B mean?