Inference-Time Scaling

A development team is enhancing a large language model through a series of steps. First, they train a new, larger version of the model from scratch on a massive, general-purpose text corpus. Next, they adapt this new model for a specific task by continuing its training on a smaller, curated dataset of customer service conversations. Finally, when the model is deployed, they improve its response quality by using a technique that generates multiple potential answers and selects the best one, a process that does not alter the model's internal parameters. How should these three enhancement strategies be classified in the order they were performed?

Match each description of a large language model enhancement strategy with its correct classification based on the model's lifecycle stage.

LLM Enhancement Strategy Analysis