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G-Eval scores LLM output with model-written evaluation steps and a probability-weighted score. See how it works, a recount of its SummEval data, and its limits.
Eval-driven development writes the eval, its pass bar and its guards before you change a prompt, model or agent. See the red-then-green loop and a worked gate.
An eval is a systematic measurement of an AI system’s behavior. Not a test that passes or fails, a measurement that returns a number with…Continue reading on Data Science Collectiv...
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