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# Researchers from Google DeepMind and Stanford Introduce Search-Augmented Factuality Evaluator (SAFE): Enhancing Factuality Evaluation in Large Language Models

**[Machine Learning News](https://daily.dev/sources/mlnews)** · 4 min read · 0 upvotes · 0 comments

## Summary

Researchers from Google DeepMind and Stanford University have introduced the Search-Augmented Factuality Evaluator (SAFE) framework, which automates the evaluation process to assess the factuality of content generated by large language models. Using Google Search as a reference point, SAFE breaks down long-form responses into individual facts and verifies their accuracy. The framework aligns with human assessments in evaluating factual information and offers a scalable and cost-efficient method for factuality evaluation.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.marktechpost.com/2024/03/29/researchers-from-google-deepmind-and-stanford-introduce-search-augmented-factuality-evaluator-safe-enhancing-factuality-evaluation-in-large-language-models/>

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Tags: [#ai](https://daily.dev/tags/ai), [#llm](https://daily.dev/tags/llm), [#google-deepmind](https://daily.dev/tags/google-deepmind)

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