Evaluating large language models trained on code

This article likely discusses the methods and results of assessing the performance of large language models (LLMs) specifically trained on code. It would probably cover metrics used for evaluation, the datasets employed, and the strengths and weaknesses of the models in various coding tasks. The source, OpenAI News, suggests the article is from OpenAI, indicating a focus on their own models or research.

• •Focus on evaluating LLMs specifically trained on code.
• •Likely covers evaluation metrics and datasets.
• •Probably discusses strengths and weaknesses in coding tasks.
• •Source suggests a connection to OpenAI's research or models.