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Various links I find interesting. Mostly hardcore tech :) // by @oleksandr_now. See @notatky for the personal stuff
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Post #746 260
Unlimiformer: Long-Range Transformers with Unlimited Length Input
Unlimiformer improves pretrained models such as BART and Longformer by extending them to unlimited inputs without additional learned weights and without modifying their code (via kNN-search)
https://arxiv.org/abs/2305.01625
Post #744 278
https://arxiv.org/abs/2302.10866
https://github.com/HazyResearch/safari
Convolutional LMM, hmmm.
> reaching Transformer quality with a 20% reduction in training compute required at sequence length 2K. Hyena operators are twice as fast as highly optimized attention at sequence length 8K, and 100x faster at sequence length 64K.
GitHub GitHub - HazyResearch/safari: Convolutions for Sequence Modeling Convolutions for Sequence Modeling. Contribute to HazyResearch/safari development by creating an account on GitHub.
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Post #736 230
while the public is ranting, Bellard ships

ts_server is a web server proposing a REST API to large language models. They can be used for example for text completion, question answering, classification, chat, translation, image generation, ...
https://wz.ax/textsynth-server
Post #735 230
Post #732 241
the dark side of indistinguishability obfuscation: machine learning models can encode arbitrary functions, therefore provably undetectable backdoors as well

https://arxiv.org/abs/2204.06974
Post #731 442
Post #730 330
Voxel 3D light field rendering, a thing which I dreamed of building since high school, tried to build multiple times back in 2010, somewhat succeeded in 2015. Made possible by neural networks now. IMHO This is the future of 3d art and entertainment. Unlimited detail, lighting effects of any complexity, etc etc.

(Try different rendering modes, it's all glitchy but it's starting to work!)
https://wz.ax/luma-neural-rendering
https://wz.ax/luma-neural-trees
and others on the luma labs website
Reflective Playground - Created by @TommyOshima with Luma January 20, 2023
Post #728 204
let here be reactions too.
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Post #727 400
well... i've yet to read this through, but likely this is THE thing that made calculus and linear algebra so hard for me (learning discrete math was definitely worth it too, but still!)

> This is a collection of ambiguous, inconsistent, or just unpleasant conventions in mathematical notation, started by Christian Lawson-Perfect.
https://wz.ax/math-wtf
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