A language model generates a response using patterns learned during training together with the information available in the current interaction. Some assistants can also use tools, search, or supplied documents. Whether they have those capabilities depends on the particular product and situation.
That is why a fluent answer is not automatically a checked answer. If the question depends on current information, ask what sources were actually consulted. For a simple introduction, give the assistant a short passage you know and compare its summary with the original.
Further reading
- Introduction to Large Language Models
Google for Developers · Publication date not established
Context and limits
Optional technical background on how language models use context and predict tokens.
Technical reading rather than a practical first step. An application's tools, access to information and behavior can differ from the general model explanation.
Sources explain the background. Examples and suggested next steps are TideProof's own guidance.
- What is Generative AI?
IBM · Publication date not established
Context and limits
How generative AI produces text, images, audio and code from learned patterns in response to prompts.
An introduction from a technology vendor. The article's publication date is not established. We do not use it to rank current models.
Sources explain the background. Examples and suggested next steps are TideProof's own guidance.