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Explore AI courses and programs from Stanford Online:
What else is sharing your AI's context window besides your prompt? In this Stanford CS193T: Thinking with AI lecture recording, Senior Lecturer Cynthia Bailey focuses on context, information, and prompt instructions that persist beyond a single chat session: settings, remembered facts, uploaded files, and retrieved web pages. Examples include how to use these tools to reduce sycophancy and "AI style," understanding what your chat history is (and isn't) used for, saving your best prompts as reusable Skills or Gems, and strategic withholding, where the smartest prompt leaves something out. She introduces retrieval-augmented generation (RAG) for grounding AI in your own documents when they would overflow the context window, and the documented ways trust in a RAG store can fail. The lecture closes on a cybersecurity note with prompt injection: why an AI can't always tell your instructions apart from malicious text on the internet.
Key questions answered in this lecture recording:
Q: Does ChatGPT learn from my conversations?
A: A released model's weights are frozen, so memories change behavior only through the context window. But a company that sees your chat history could use it to train future models; Stanford's licensed AI tools prohibit that, while personal accounts may not.
Q: What is retrieval-augmented generation (RAG)?
A: RAG is a user-curated document store, much larger than the context
