Language Model Evaluation

Language model evaluation involves assessing how accurately and effectively a language model generates or understands text. It uses specific metrics and tests to measure aspects like correctness, coherence, and relevance of the responses. This process ensures the model performs well across different tasks, such as answering questions or completing sentences, and helps identify areas for improvement. Essentially, it’s like quality control for AI language tools, making sure they provide useful, accurate, and contextually appropriate outputs in real-world applications.