Comment on Phishing / spam detection with local LLMs?
wearetheprojekt@mastodon.social 2 weeks ago @hendrik Perfect. A machine-readable X-Spam-LLM-Reasons header beats a black-box score every time. Operators can grep it; auditors can quote it.
wearetheprojekt@mastodon.social 2 weeks ago
hendrik@palaver.p3x.de 2 weeks ago
Though it’s kind of written by a black box 😂 I mean it’ll generate a reason. But ultimately it remains a mystery why LLMs conclude what they do. You can probably use it to improve the prompt and comppare models.