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Currents 086: Monica Anderson on Bubble City

The Jim Rutt Show

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Using Machine Learning to Find Synthetic Topics

You don't actually need a large language model all you really need is a semantic space embedding calculator. For instance, somebody I know just recently combined just a very simplistic two dimensional space projection clustering algorithm on 100 million tweets. So not to do it with at least a decent understanding machine or even a GPT like interest because it would be much better.

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