Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 105 discussion

The task described — producing code from natural language comments — involves continuing or completing a prompt (in this case, natural language) with appropriate code. This is best handled by the text completion capability of large language models (LLMs). You provide a prompt such as: # This function calculates the factorial of a number\n def factorial(n): The model completes the rest with actual code. Text completion is specifically designed for this kind of task, where the model infers the most likely continuation of a given input, which can be natural language or code.

Large language models (LLMs) that convert natural language comments into code need the ability to generate new content based on the provided input. This aligns with the text generation feature, where the model produces human-like text, including writing code from natural language descriptions.

The correct answer is B. Text generation is the appropriate feature for converting natural language into code.

To produce code from natural language code comments, text generation is the appropriate feature of an LLM.