On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding ...
Think of continuous batching as the LLM world’s turbocharger — keeping GPUs busy nonstop and cranking out results up to 20x ...
Cloud business revenue was up 27% to $6.13 billion, up more than 25% for five quarters in a row, noted CEO Christian Klein.
The reason why large language models are called ‘large’ is not because of how smart they are, but as a factor of their sheer ...
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