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www.alignmentforum.org
| | blog.moonglow.ai
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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
| | codeincomplete.com
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| | Personal Website for Jake Gordon
| | deepmind.google
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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...
| | loufranco.com
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| [AI summary] A blog post discusses an MIT study on GitHub Copilot's impact on software development productivity, highlighting its effectiveness in speeding up task completion for experienced developers.