Artificial Intelligence
How LLMs are trained, aligned, evaluated and served.
How instructions and requests work together, what belongs in each prompt, and how to build prompts that are clear and reusable.
Turn a prompt into a small reproducible application with configuration, inference, output, and saved experiment artifacts.
What an LLM is, how text becomes tokens, how a model generates output, and the difference between training and inference.