A category of AI model that produces new content: text, images, code, or other outputs, in response to input prompts, rather than returning a fixed or pre-programmed answer. LLMs are the most widely used type of generative AI.
So what? Because outputs are generated fresh each time, the testing approaches used for traditional deterministic software don't transfer cleanly. Concepts like "expected result" and pass/fail need to be rethought.
Example: ChatGPT, Claude, Bard, and Copilot are all generative AI applications built on large language models.
So what? Because outputs are generated fresh each time, the testing approaches used for traditional deterministic software don't transfer cleanly. Concepts like "expected result" and pass/fail need to be rethought.
Example: ChatGPT, Claude, Bard, and Copilot are all generative AI applications built on large language models.
"It won't give an answer based on what is logically correct, but on what is statistically most likely. The sentences can be completely correct, while the answer is completely wrong." — Demi Van Malcot
