A company wants to use large language models (LLMs) to produce code from natural language code comments. Which LLM feature meets these requirements?

Text summarization involves condensing a longer piece of text into a shorter, coherent summary, which is not the process of generating code.

Text generation is the broad capability of large language models to produce coherent and relevant text based on a given input prompt. Generating code from natural language descriptions falls under this category, as the model is creating new textual content (code) guided by the input (comments).

Text completion is typically about finishing an incomplete sentence or phrase; however, generating entire code blocks from natural language comments is better described by the broader term 'text generation' as it involves creating new structured content.

Text classification involves categorizing text into predefined classes or labels, which is unrelated to producing code.