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# WebGPT: Improving the factual accuracy of language models through web browsing

**[OpenAI](https://daily.dev/sources/openai)** · 7 min read · 0 upvotes · 0 comments

## Summary

OpenAI fine-tuned GPT-3 to answer open-ended questions more accurately by giving it access to a text-based web browser. The system, called WebGPT, submits search queries, follows links, and collects passages from web pages to compose cited answers. It is trained using human demonstrations and reinforcement learning from human feedback (RLHF). The best model's answers are preferred over human demonstrators 56% of the time and outperform base GPT-3 on TruthfulQA. Key challenges include out-of-distribution robustness, quoting unreliable sources, and the risk that capable models may cherry-pick convincing but misleading sources. The work highlights the need for cross-disciplinary research on source reliability criteria and epistemically sound evaluation methods.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://openai.com/index/webgpt>

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