Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection — mentioned by PaulHoule

Thu, 06 Apr 2023 13:21:09 GMT

Unfortunately this article doesn't have specific numbers, also it overstates the case for the API and makes fine-tuning seem more of a leap than it really is. I know the pointy-haired boss wants to use APIs for everything, even feature flags and user login, but he's been canceled. It is almost scary how productive I can be working with the new tools for embeddings and neural networks. Regularly I get things done in half an hour that used to take a whole weekend. It used to be a real black art to train networks on a GPU but now I can go down a short checklist and... it's easy. The worst…

Paper and discussion history. A mention is not an endorsement.

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection — HN submission

Wed, 05 Apr 2023 15:46:57 GMT

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection

2 points; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection · HackerPapers discussions

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection — mentioned by PaulHoule

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection — HN submission