Classification of LLM Fine-Tuning Approaches for Reasoning Tasks

A development team is updating a pre-trained language model by further training it on a curated dataset of specific prompts and their desired, high-quality outputs (e.g., prompt: 'Explain gravity to a 5-year-old,' output: 'Gravity is like a big, invisible hug from the Earth...'). Why is this specific training process considered a method for model alignment?

Evaluating the Purpose of Instruction-Based Training

The process of adapting a pre-trained language model using a dataset of instructions and their corresponding desired outputs is categorized as an alignment problem because its primary goal is to enhance the model's core linguistic knowledge and predictive accuracy.