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simonwillison.net
| | cset.georgetown.edu
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| | Place to find CSET's publications, reports, and people
| | www.danieldemmel.me
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| | Part two of the series Building applications using embeddings vector search and Large Language Models
| | 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
| | blog.miguelgrinberg.com
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| miguelgrinberg.com