In the field of AI experimentation, what is the GLUE benchmark used to evaluate performance...

The General Language Understanding Evaluation (GLUE) benchmark is a widely used standard for evaluating AI models on a diverse set of natural language understanding (NLU) tasks, as covered in NVIDIA’s Generative AI and LLMs course. GLUE includes tasks like sentiment analysis, question answering, and textual entailment, designed to test a model’s ability to understand and reason about language across multiple domains. It provides a standardized way to compare model performance on NLU. Option A is incorrect, as GLUE does not evaluate speech recognition. Option B is wrong, as it pertains to image recognition, unrelated to GLUE. Option D is inaccurate, as GLUE focuses on NLU, not reinforcement learning. The course states: “The GLUE benchmark is used to evaluate AI models on a range of natural language understanding tasks, providing a comprehensive assessment of their language processing capabilities.”