Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
广东现代南药产业技术体系创新团队由广州中医药大学牵头，整合6家高校及科研机构优势力量组建而成。团队首席专家詹若挺穿梭于实验室与田野之间，聚焦南药种业“卡脖子”技术攻关，以“前端研发、中端熟化、后端推广”的一体化模式为核心，成功构建全链条南药产业集聚发展引领区，推动南药产业从“小散弱”向“全链协同”转型，为中医药高质量发展提供核心支撑。
。关于这个话题，Line官方版本下载提供了深入分析
If you're looking for more puzzles, Mashable's got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.
미국 IT 매체 더버지는 24일(현지시간) 스페인 바르셀로나의 소프트웨어 엔지니어 새미 아즈두팔이 DJI의 로봇청소기 ‘로모(Romo)’ 통신 구조를 분석하는 과정에서 보안 취약점을 발견했다고 보도했다.
Astronomical terms plus a letter: COMETH, NOVAK, START, SUNG