프롬프트관련 편집하기 (부분)

==ML학습 팁==

Remember you just need to find MINOR issues in one of the responses! 

After doing a bunch of tasks myself, I've learned that niche details (e.g. birth cities of Indian CEOs, this strategy is really good for Open/Closed QA!), 

complex instructions (e.g. Italicize any Māori words and include their translation, first year of year or century of usage after the italicized word in the same parentheses. If there is no year/century stated in the text, please use N/A), and riddles (for Open QA) are '''great ways to trick the model!'''

Most contributors first find a reference text and then try to create prompts around it, which is inefficient. Instead, start with '''topics and strategies''' in mind, then select a suitable reference text. 

For example, I receive an "en-New Zealand" task. My immediate thought is "What are some lesser known details about New Zealand that will make the model fail? and my mind goes to Māori language or customs because I didn't learn a lot about it in grade school. Other options could include details of local New Zealand cricketers or New Zealand flora and fauna—you know best for your language or country.

* 복잡한 프롬프트
"Summarize the below text. Italicize any Māori words and include their translation, [comma] first year/century of usage in parentheses after the word. If no year/century is stated, use N/A."

"find and italicize the Maori words and include translations in parentheses" (괄호)

 I quickly pivoted and made the constraint more complex. (방향을 바꾸어, 제약 조건을 더 복잡하게)

* 간략한 평가
Keep it to 1-2 short sentences. For example, "There are Truthfulness issues because the number of goals statistic is incorrect for Messi - it's 15, not 12" or "There are Instruction Following issues because the response does not have bullet points". 


*생각해 볼 것
객관적으로 보기, 질문(prompt)로 하고자 하는 것이 충족되었는가 관점 유지

사소한 문제의 기준은 3개가 넘어가면 중요 문제