OpenAI ChatGPT Enables Location Sharing For More Localized Near Me Results - Search Engine Roundtable
<a href="https://news.google.com/rss/articles/CBMickFVX3lxTE5KU01PckZUNHc0U3ZDWHdQbXpkNW1wSC1qRGo2REUxRkg0Mk5KUEFRLWxHQWJNVnB5dGlXQ3JtRk9TMjV1RTJmOFNRbjh2VEd2NHNfWVp4NzZkYXl6VEIxVzBOYm1JZHNPRG5BLXdhVWVCdw?oc=5" target="_blank">OpenAI ChatGPT Enables Location Sharing For More Localized Near Me Results</a> <font color="#6f6f6f">Search Engine Roundtable</font>
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[P] GPU friendly lossless 12-bit BF16 format with 0.03% escape rate and 1 integer ADD decode works for AMD & NVIDIA
Hi everyone, I am from Australia : ) I just released a new research prototype It’s a lossless BF16 compression format that stores weights in 12 bits by replacing the 8-bit exponent with a 4-bit group code . For 99.97% of weights , decoding is just one integer ADD . Byte-aligned split storage: true 12-bit per weight, no 16-bit padding waste, and zero HBM read amplification. Yes 12 bit not 11 bit !! The main idea was not just “compress weights more”, but to make the format GPU-friendly enough to use directly during inference : sign + mantissa: exactly 1 byte per element group: two nibbles packed into exactly 1 byte too https://preview.redd.it/qbx94xeeo2tg1.png?width=1536 format=png auto=webp s=831da49f6b1729bd0a0e2d1f075786274e5a7398 1.33x smaller than BF16 Fixed-rate 12-bit per weight , no
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