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LATEST TECH ARTICLES
From Filters to Feedback Loops: How Post-Monitoring Enables Safe LLM Operations (Includes research on the prompt pre-blocking methods of major LLMs)
Overview: Two Approaches to AI Safety To safely operate chatbots that utilize Large Language Models (LLMs), two primary strategies exist: pre-blocking and post-monitoring . Pre-blocking is a method that filters user prompts in advance or applies constraints at the input stage to block risky requests before they are processed by the model. In contrast, post-monitoring is an approach that supervises and audits the LLM's output in real-time or after the fact to prevent inappr
Oct 20
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