Instruct the model without providing examples — harness pre-trained knowledge with clear, precise task descriptions.
Five passes over the same idea, each from a different angle. Do them in order, or jump to whichever you need.
Zero-shot prompting is asking a model to perform a task it has never seen demonstrated in your prompt. The model relies entirely on its pre-training. Success depends heavily on task clarity, instruction specificity, and alignment with what the model saw during training. Role instructions, output format specification, and chain-of-thought cues all improve zero-shot performance.
