NLP Benchmarks

NLP (Natural Language Processing) benchmarks are standard tests used to evaluate how well language AI models understand and generate human language. They consist of a set of tasks, like translating text, answering questions, or summarizing content. By running models through these tests, researchers can compare performance, track progress, and identify strengths or areas needing improvement. Think of them as standardized exams for AI language systems, ensuring consistent assessments across different models and driving advancements in NLP technology.