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Tell the model what NOT to do in addition to what you want. For example, 'Explain quantum computing without using analogies or metaphors.' Negative constraints often produce more focused and accurate outputs than positive instructions alone.

In production, log every prompt sent and every response received (with appropriate PII redaction). These logs are invaluable for debugging failures, detecting quality regressions, computing cost analytics, and building eval datasets from real traffic.

""Software is eating the world, but AI is going to eat software.""

Challenge: Prompt an LLM to explain a complex topic like quantum computing in simple terms a 5-year-old could understand. Evaluate its clarity and accuracy.

Training cutting-edge LLMs like GPT-4 can cost millions of dollars in computing resources, with some estimates placing it at $10-100 million for the largest models.

"The question of whether a computer can think is no more interesting than the question of whether a submarine can swim."

"The question of whether a computer can think is no more interesting than the question of whether a submarine can swim."

Training cutting-edge LLMs like GPT-4 can cost millions of dollars in computing resources, with some estimates placing it at $10-100 million for the largest models.