Short version
- I don’t have access to my training data or the ability to look up whether a specific document or page was used.
- Broadly, I was trained on a mixture of licensed data, data created by human trainers, and publicly available text and images. Training also used supervised learning and reinforcement learning from human feedback (RLHF).
- I can explain the general types of material that inform my responses, common limitations, and privacy implications. Ask if you want more detail about any part.

More detail (high level)
- Composition: Models like me are trained on very large collections of text (and for multimodal models, images) drawn from many sources. Typical content types include books, websites, code, news articles, scientific papers, and content created by human trainers. The goal is to learn language patterns, facts, reasoning, and how to follow instructions.
- Training process: The raw data is used during pretraining to predict text (or tokens in general). Then developers typically fine-tune models with supervised examples and with RLHF, where humans rate outputs to align the model with desired behavior.
- No access or retrieval: I don’t “remember” or have a database of the training documents. I generate answers based on patterns learned during training, not by retrieving exact stored documents.
- No disclosure of proprietary datasets: I can’t provide a list of specific proprietary sources, and I’m not able to confirm whether a particular proprietary or personal text was included.
- Privacy and personal data: Training aims to avoid using private personal data. I don’t have persistent memory of users between chats (unless the platform explicitly provides conversation history), and I can’t search the web or access private systems. If you share personal information in a conversation, I can use it within that session to help you, but I don’t independently pull personal data about people.
- Limitations and risks: I can be incorrect, out of date (my knowledge cutoff is June 2024), and sometimes produce plausible-sounding but false or biased outputs. I don’t have real-time knowledge or direct access to new documents unless you provide them.

If you want
- I can help locate public sources for a claim, suggest how to verify whether a specific text is public, or explain how training processes like RLHF work in more detail.
