Training Corpus

A training corpus is the collection of text, images and other material an AI system learns from during training. OpenAI says the AI behind ChatGPT learns from three sources: information publicly available on the internet, information it gets through partners, and information that users, human trainers and researchers provide or create.

Source: OpenAI Help Center, How ChatGPT and our foundation models are developed, checked October 29, 2026

What Training Corpus means for your business

A pre-training corpus is the material used in pre-training, the stage where the AI learns from a huge amount of text how words fit together. OpenAI lists preparing the data, pre-training and post-training as separate stages, and says different information may be used at each. It also says it increasingly uses synthetic data, material made by its own models, in some training.

For web pages, OpenAI says it uses only content that's freely open, doesn't knowingly collect from sources behind paywalls or on the dark web, and filters out spam, hate speech, adult content and sites that gather personal information. A site owner can block GPTBot in robots.txt, which OpenAI says tells it the content shouldn't be used for training. Our GPTBot entry covers the details. OpenAI also says its models don't keep copies of what they were trained on. Training adjusts the numbers inside the AI instead.

As we understand it, changing a page doesn't change what an AI already learned in training. When ChatGPT searches the web it can read the new page, but its trained knowledge stays the same until a newer version is trained. Since the corpus is mostly the open web plus partner data, we'd look at what's publicly readable about you, on your site and elsewhere, so whatever goes into the next one says the same thing. If you're not sure what the open web says about your business, checking what's written about you where AI companies can read it is where we'd begin.

Last reviewed October 29, 2026. All terms

How AI answers it today

On October 29, 2026, Google's AI Overview gave a general machine learning definition, citing AI glossary sites, YouTube, Quora and a university library guide, and named Common Crawl among GPT-3's sources. ChatGPT gave a similar definition with a spam-filter example and cited nothing.

Our run through ChatGPT and Google's AI Overview, October 29, 2026. A sample, not what every buyer sees.

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