Building a Serverless AI Model Evaluation Platform on AWS
A media company developed a serverless AI model evaluation platform on AWS to automate the comparison of podcast-style summaries generated from news articles. The platform allows for simultaneous evaluation of multiple AI models, scoring their outputs, and generating visual comparison reports. This system streamlines the evaluation process, making it more efficient and scalable compared to manual methods.
- ▪The platform evaluates AI models by sending articles to multiple models simultaneously.
- ▪It automatically scores each output using a separate AI judge and generates a comparison report.
- ▪The entire process is triggered by a single API call and is fully serverless, utilizing AWS services.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3629352) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Debapriya Dey Posted on May 22 Building a Serverless AI Model Evaluation Platform on AWS #ai #aws #llm #serverless The Problem A media company needed to evaluate which AI model produces the best podcast-style summaries from news articles.
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