Training AI assistants involves four stages: pre-training, supervised fine tuning, reward modeling, and reinforcement learning.
Improving AI language models requires leveraging human judgment, refining transformer performance in NLP, and using techniques like prompt engineering, retrieval augmented generation, and constraint prompting.