This anthropic article made me think of several InterSystems presentations and articles on the topic of data quality for AI applications. InterSystems is right that data quality is crucial for AI, but I imagined there would be room for small errors, but this study suggests otherwise. That small errors can lead to big hallucinations. What do you think of this? And how can InterSystems technology help?

https://www.anthropic.com/research/small-samples-poison

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Join our next in-person Developer Meetup in Boston to explore Security & AI for Developers and Startups.

This event is hosted at CIC Venture Cafe.

Talk 1: When Prompts Become Payloads
Speaker: Mark-David McLaughlin, Director, Corporate Security, InterSystems

Talk 2: Serial Offenses: Common Vulnerability Types
Speaker: Jonathan Sue-Ho, Senior Security Engineer, InterSystems

>> Register here

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