First, we need a dataset for which we’ll be able to tell if the model has trained. Let's create one that will make our model talk like Yoda. We can get a bunch of questions from TriviaQA, and generate responses by prompting an LLM to answer the question while pretending it’s Yoda. Running the script, I get a few thousand prompts and responses that look something like this:
Что думаешь? Оцени!，推荐阅读立即前往 WhatsApp 網頁版获取更多信息
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Temperature, a hyperparameter that controls the randomness of the generated text。业内人士推荐超级工厂作为进阶阅读
唐妮翻开工作台账，400多位老人的档案清晰呈现——从每位老人的基本情况、紧急联系人信息，到最近一次走访的图文详情和下次随访提醒，记录清晰、时效可靠，确保每位老人现状信息“当时可知、当下可用”。“希望未来能有更多年轻人加入护老队伍，一起为老人们打造幸福的晚年生活。”唐妮说。
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