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Content We can create a small python service that uses a Large Language Model (LLM) to detect if a message is spam or not. Using this service, we can tie it into our Rails application so that any comment created will be evaluated for being spam or not. We explore a few different routes on handling any messages flagged as spam.

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Hidden blurb --- !ruby/object:Feedjira::Parser::AtomEntry author: Dave Kimura content: We can create a small python service that uses a Large Language Model (LLM) to detect if a message is spam or not. Using this service, we can tie it into our Rails application so that any comment created will be evaluated for being spam or not. We explore a few different routes on handling any messages flagged as spam. title_type: title: Detect Spam with AI links: - https://www.driftingruby.com/episodes/detect-spam-with-ai published: 2023-11-05 00:00:00.000000000 Z entry_id: tag:www.driftingruby.com,2005:Episode/433 carlessian_info: news_filer_version: 2 newspaper: Drifitng ruby macro_region: Technology rss_fields: - author - content - title_type - title - links - published - entry_id - url - updated url: https://www.driftingruby.com/episodes/detect-spam-with-ai updated: 2024-02-16 21:21:38.000000000 Z categories: []

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Ricc internal notes Imported via /Users/ricc/git/gemini-news-crawler/webapp/db/seeds.d/import-feedjira.rb on 2024-04-01 22:13:17 +0200. Content is EMPTY here. Entried: author,content,title_type,title,links,published,entry_id,url,updated. TODO add Newspaper: filename = /Users/ricc/git/gemini-news-crawler/webapp/db/seeds.d/../../../crawler/out/feedjira/Technology/Drifitng ruby/2023-11-05-Detect_Spam_with_AI-v2.yaml

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