Prompt Engineering Insights

Lukas and Harrison discuss the role of weights and biases in prompt engineering, highlighting the importance of experiment tracking and accessibility in comparison to traditional ML engineering. They delve into the parallels and differences between the two approaches, emphasizing the value of a well-kept lab notebook for experimentation.