While Big Tech is tight-lipped on how much it costs to train large language models like ChatGPT, Claude, or Gemini, estimates range from hundreds of millions to a billion dollars for each training iteration. That steep cost means AI developers would prefer to train their new models only once.
To rein in costs and increase confidence in these massive singular training runs, developers have come to rely upon what are known as scaling laws to probe the…
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Source hai.stanford.edu
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