
How I Stopped Hallucinations in My AI Application Built on AWS Bedrock
title: How I Stopped Hallucinations in My AI Application Built on AWS Bedrock published: false description: A builder's guide to prompt engineering, guardrails, and layered defenses on AWS Bedrock tags: aws, ai, generativeai, programming . A few months ago, my AI application confidently told a user something completely wrong. It sounded perfect. The grammar was clean, the tone was professional, and the information was totally made up. That was my wake-up call. I've been building a generative AI application on AWS Bedrock, and hallucinations were the single biggest problem I had to solve before I could trust this thing in production. What followed was a process of layering multiple strategies on top of each other until I got the reliability I needed. Here's exactly what I did, step by step. Understanding the Problem First Before jumping into fixes, I had to understand what I was actually dealing with. Hallucinations aren't a bug you can patch with a code fix. They're fundamental to how
Continue reading on Dev.to
Opens in a new tab


