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Domain > carson.gg
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DNS Resolutions
Date
IP Address
2019-07-23
192.64.118.76
(
ClassC
)
2024-09-13
76.76.21.21
(
ClassC
)
Port 443
HTTP/1.1 200 OKAccept-Ranges: bytesAccess-Control-Allow-Origin: *Age: 8315404Cache-Control: public, max-age0, must-revalidateConnection: keep-aliveContent-Disposition: inlineContent-Length: 3303Conten !DOCTYPE html>html> head> title>Carson Pooles Personal Site/title> /head> body> p> Hi Im Carson. Im the cofounder of a hrefhttps://forefront.ai>Forefront.ai/a> /p> p>Feel free to email me at carson@forefront.ai/p> h3>Heres a list of research ideas to steal from/h3> ul> small>July 12th, 2023/small> li>a hrefhttps://arxiv.org/abs/2307.05695>ReLoRA/a> - a hrefhttps://discord.com/channels/729741769192767510/747850033994662000/1040702564422910123>seen first here in November 2022/a>/li> li>a hrefhttps://arxiv.org/abs/2212.05055>Sparse Upcycling/a> - a hrefhttps://discord.com/channels/729741769192767510/747850033994662000/1041735296510873611>seen first here also in November 2022/a>/li> li>a hrefhttps://arxiv.org/abs/2305.13245>GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints/a> - a hrefhttps://discord.com/channels/729741769192767510/1010280570921697372/1083077804331126876>seen first here in March 2023/a>/li> li>How many values of an embedding do you need to keep in order for the dot products to be roughly the same? Can I keep every third value and my sentence embeddings perform close to identically?/li> li>Can you diff a fine tuned model and SVD the diff and turn the largest K singular values into LoRA weights with close to the same performance? Would enable merging a whole lot more LoRAs of alpacas/orcas/etc/li> li>Can you appoximate the attention mechanism with a small model like BiLD / Speculative Sampling and throw out some number of irrelevant tokens? Specifically on chat based tasks where topics can change./li> hr/> small>July 13th, 2023/small> li>Can you take a pretrained model and continue training with QAT and wind up with a good model? I know int8 works and I even have done int4 but it would be really cool if you could do this down to int2./li> li>Can you take a dense model and SVD the weights and slightly lower the rank, continue training, and repeat this until the inner rank is significant
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