WebGPT: Improving the factual accuracy of language models through web browsing
Researchers at OpenAI have improved the factual accuracy of language models by fine-tuning GPT-3 with a text-based web browser. This allows the model to access and incorporate information from the internet when answering open-ended questions, potentially reducing errors caused by outdated or incomplete training data.
Researchers at OpenAI have improved the factual accuracy of language models by fine-tuning GPT-3 with a text-based web browser. This allows the model to access and incorporate information from the internet when answering open-ended questions, potentially reducing errors caused by outdated or incomplete training data.
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Why it matters: This matters because it addresses a common limitation of large language models: their reliance on static training data that may not reflect real-world knowledge. By enabling these models to browse the web, they can stay up-to-date and provide more accurate answers.
Source: https://openai.com/index/webgpt
This article was originally published at: https://openai.com/index/webgpt