LLM foundations: architecture, adaptation and steering

A broad conversation on large language models: how the architecture works, the ways to adapt a model to a task (full fine-tuning, parameter-efficient methods, prompting), and the ways to steer its behavior. Be ready to compare the options and say when you would pick each.