|
|
|
|
|
by linuxterminal
3 hours ago
|
|
That's a really great point! You're right that frontier models like Claude 3.5 Sonnet and Opus require far less prompt coaxing than older models to get good general results. Where structured prompt engineering (like RTF or CO-STAR) still shines for me is:
1. Consistency & Output Formatting: Enforcing strict XML tags or Markdown schemas when building automated pipelines or developer workflows.
2. Context Setting: Preventing the model from making assumptions on tone, target audience, or missing constraint requirements.
3. Speed: Reducing the 3-4 back-and-forth iteration turns down to a single well-structured prompt. You're completely right that over-constraining system prompts can hurt reasoning, which is why the tool aims to provide structural clarity (Role, Task, Constraints) rather than micro-managing the LLM's internal thinking. |
|