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What every one of these techniques have in common is that they transform inputs right into a list of tokens, that happen to be numerical representations of chunks of knowledge.
A GenSQL consumer uploads their data and probabilistic model, which the technique quickly integrates. Then, she can operate queries on knowledge that also get input from the probabilistic model working behind the scenes. This not simply permits a lot more sophisticated queries but may offer a lot more website correct answers.
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