Beginner · Evaluation
Golden response
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A manually created, high-quality output used as a benchmark to evaluate the quality of responses generated by AI models.
Technical Definition
A manually created, high-quality output used as a benchmark to evaluate the quality of responses generated by AI models.
How it works
A golden response is a pre-defined, ideal output for a given input or prompt, created by human experts. It is used as a standard to measure the performance of generative AI models, particularly in tasks like question answering or text generation. By comparing the model's generated response to the golden response, developers can assess its accuracy, relevance, and overall quality.
Related Concepts
- Benchmark — A standardized dataset and evaluation protocol used to compare models.
- Evaluation — The process of measuring a model's quality or comparing different models.
- Generative AI — An AI field focused on creating models that can generate novel and complex content, such as text, images, audio, and video, that is coherent and original.