Two Very Different Modes

Overview of AI Modes and Grounding

Explore the crucial differences between training-based generation and grounded material, and learn how to ensure your AI uses the right sources.

Two Ways AI Generates Answers

Artificial Intelligence operates in two distinct modes. It can answer using its general training or by looking at specific material you provide.

Both modes produce text that looks identical. The tone is polished and confident in both cases.

You cannot tell the difference just by reading the output. You must verify which source the AI used.

The Danger of Generic Answers

Imagine asking for your company refund policy without attaching a file. The AI will generate a sensible, professional policy.

However, this policy is entirely invented. It comes from patterns in the training data, not your actual rules.

If you attach your document, the AI uses that specific text. Both versions look like real answers, but only one is true for you.

How You Supply Information Matters

Not every way of sharing a document is equal. The method you choose changes how much the AI actually sees.

Pasting three paragraphs guarantees the model reads every word. It is the most reliable method for short, critical text.

Uploading a 200-page PDF is different. The system might only fetch small parts of that large file to save space.

Choosing the Right Connection

Direct methods like pasting provide the highest certainty. Use this for decisions that hang on a single paragraph.

Connectors and projects add convenience for large amounts of data. However, they reduce your certainty about what was actually read.

Live search grounds answers in the open web. This uses sources you did not choose yourself, which adds another layer of risk.

Testing Your AI Results

Do not assume the model read your upload just because it is attached. You must confirm the grounding yourself.

Try asking about a document only you own without attaching it first. Then, attach it and ask again.

If the two answers look very similar, be suspicious. It may mean the AI ignored your attachment and used its training instead.

Putting It All Together

An AI response generated from training data and one generated from provided material _____ look visually distinct.

• do not
• do

Answer: do not

Both training-based generation and grounded answers produce polished, confident text that looks identical, so you cannot tell the source by visual appearance alone.

When sharing documents, _____ text ensures every word is processed for short critical tasks, whereas _____ a large file only guarantees the system fetches parts of it.

Answer: When sharing documents, pasting text ensures every word is processed for short critical tasks, whereas uploading a large file only guarantees the system fetches parts of it.

Directly pasting text guarantees the full content is seen by the model, while uploading large files like 200-page PDFs means the system may only fetch snippets.

You want to verify whether an AI model is using your attached document rather than relying on its general training. What is the best strategy to test this?

• Ask the question without the document attached first, then attach it and compare both responses.
• Check if the output uses a polished, confident tone when answering.
• Assume the document was read entirely as long as the upload indicator succeeds.
• Enable live search to allow the model to fetch external web sources.

Answer: Ask the question without the document attached first, then attach it and compare both responses.

To verify grounding, ask about a proprietary document without attaching it, then attach it and ask again. If both answers look very similar, the model may be relying on training rather than your file.