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# A faster, better way to prevent an AI chatbot from giving toxic responses

**[MIT News](https://daily.dev/sources/mit)** · 5 min read · 0 upvotes · 0 comments

## Summary

Researchers have developed a machine learning technique to improve red-teaming for large language models. By training a red-team model to generate diverse prompts that elicit toxic responses from a chatbot, they achieved better coverage and effectiveness compared to human testers and other automated methods. The method provides a faster and more effective way to ensure the safety of language models, which is crucial given the rapidly changing environment of AI.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://news.mit.edu/2024/faster-better-way-preventing-ai-chatbot-toxic-responses-0410>

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Tags: [#ai](https://daily.dev/tags/ai), [#bots](https://daily.dev/tags/bots), [#machine-learning](https://daily.dev/tags/machine-learning), [#red-teaming](https://daily.dev/tags/red-teaming)

[View this post on daily.dev](https://daily.dev/posts/a-faster-better-way-to-prevent-an-ai-chatbot-from-giving-toxic-responses-o40gkqeyn)

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