Tao: Today there are a lot of very tedious types of mathematics that we don’t like doing, so we look for clever ways to get ...
1d
Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
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