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| | simonwillison.net
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| | I think it's now possible to train a large language model with similar functionality to GPT-3 for $85,000. And I think we might soon be able to run the resulting ...
| | deepmind.google
1.6 parsecs away

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| | We ask the question: "What is the optimal model size and number of training tokens for a given compute budget?" To answer this question, we train models of various sizes and with various numbers...
| | blog.moonglow.ai
2.4 parsecs away

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| | Parameters and data. These are the two ingredients of training ML models. The total amount of computation ("compute") you need to do to train a model is proportional to the number of parameters multiplied by the amount of data (measured in "tokens"). Four years ago, it was well-known that if
| | jan.schnasse.org
14.8 parsecs away

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