Prompt engineering is critical for eliciting useful responses from large language models like ChatGPT. Using clear instructions, providing context, and asking follow-up questions help improve the AI responses.
In reinforcement learning, AI systems learn by interacting with their environment and receiving feedback in the form of rewards or penalties. The AI system aims to maximise the cumulative reward over time by choosing the optimal sequence of actions.
