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.
OpenAI also said they are establishing a direct point of contact with Canadian law enforcement to refer cases with potential for "real world violence."
。业内人士推荐服务器推荐作为进阶阅读
"It's a huge surprise because I've always been able to get a job very easily," said Trigg, who lives in Texas. "It wasn't even on my radar to be prepared for more than six months of unemployment. It wasn't in my universe."
舉例來說，2024年的一項研究發現，當使用者以禮貌的方式提問，而不是直接下命令時，大型語言模型的回答更好、更準確。更奇怪的是，這其中還存在著文化差異：與中文和英文相比，如果你對日文聊天機器人過於客氣，它們的表現反而會略遜一籌。