There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.
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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 ...
We often stop noticing things we’ve become too accustomed to, as a side effect of our brains protecting us from sensory ...
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