My first instinct was creativity. I had models generate poems, short stories, metaphors, the kind of rich, open-ended output that feels like it should reveal deep differences in cognitive ability. I used an LLM-as-judge to score the outputs, but the results were pretty bad. I managed to fix LLM-as-Judge with some engineering, and the scoring system turned out to be useful later for other things, so here it is:
Business-y, data science tasks are more often C++. Scientific Python
。业内人士推荐pg电子官网作为进阶阅读
세번째 ‘음주물의’ 이재룡…아내 유호정 과거 발언 재조명
and need to be polled again later. In async function terms that's an "await
I have seen claims of 10,000 lines of code in a day or hundreds of thousands of lines in a week;