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dominicwhyte | 2 years ago

We give 2-3 examples and find that it works pretty well (few shot fine tuning) but haven't tried actual fine tuning yet so I don't have a 1-1 comparison.

We also have other spam filters that are not LLM-based. One of the main benefits of the LLM-based approach is that it's good at catching people who try to avoid detection (e.g. someone purposefully mis-spelling suspicious words like "pa$$word")

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