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akkishore

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投稿

MyMonk – Edit your website by talking to it

mymonk.ai
2 ポイント·投稿者 akkishore·2 か月前·0 コメント

Search 40M docs in <200ms on a CPU using binary embeddings and int8 rescoring

medium.com
2 ポイント·投稿者 akkishore·6 か月前·0 コメント

Every AI startup is likely to be crushed by rapid expansion of model providers

twitter.com
2 ポイント·投稿者 akkishore·8 か月前·1 コメント

[untitled]

1 ポイント·投稿者 akkishore·昨年·0 コメント

Hugging Face Offers Developers Inference-as-a-Service Powered by Nvidia Nim

blogs.nvidia.com
2 ポイント·投稿者 akkishore·2 年前·0 コメント

Gartner Predicts 30% of Gen AI Projects Will Be Abandoned After POC by 2025

gartner.com
2 ポイント·投稿者 akkishore·2 年前·1 コメント

Ask HN: Is there a realtime/lagged view of worldwide internet traffic?

13 ポイント·投稿者 akkishore·5 年前·4 コメント

A Styrofoam Ball Rides the Waves to Create a Volumetric Display

hackaday.com
2 ポイント·投稿者 akkishore·5 年前·0 コメント

コメント

akkishore
·2 年前·議論
Hi Andrej,

Huge fan of all the work you do. Wanted to understand something fundamental and whom better to ask than you: Whats so special about the transformer architecture that its able to predict the next token so beautifully understanding all the intricate previous token relationships? I understand Attention but what so special about this architecture that no other architectures are able to "attend" appropriately to previous tokens? Being a CS guy, its really hard for me to fathom that we have not yet created another architecture which can perform similarly.
akkishore
·4 年前·議論
But technical debt bites you in every new feature by slowing new code addition.