Source Score: Continuing Exploration of LLM Usage in Automated Workflows
The article discusses the author's ongoing project involving the automation of news article processing using Python and various APIs. The author has developed a pipeline that identifies recent articles, selects those making falsifiable claims, and verifies them through independent sources. The implementation utilizes NewsData.IO for fetching articles and OpenRouter API for claim verification.
- ▪The author is building a microservice to automate news article processing.
- ▪A weekly pipeline pulls the ten newest articles from a news outlet and identifies falsifiable claims.
- ▪The NewsData.IO API is used to fetch recent articles, providing 200 credits per day for lightweight requests.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3682841) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Amit Singh Posted on May 24 Source Score: Continuing Exploration of LLM Usage in Automated Workflows #python #automation #devops #ai This post is a continuation of a microservice I've been building. You can check out my last post in the series here.
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