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:
江西省妇幼保健院肿瘤科副主任胡小青代表对报告中提到的“密切代表同人民群众的联系”颇有感触。“我曾参加全国人大常委会组织的‘优质医疗资源下沉’专题调研活动，全程跟随调研组深入各级医疗机构。”胡小青说，在全国人大常委会的组织下，代表得以更好深入一线、深入群众，把基层的好经验、好做法提炼好。
。新收录的资料是该领域的重要参考
这个设备挺烂的到手之后用了一阵子，产生了一种相当复杂的感受：挺好，但是活整得挺烂。
Назван способ законно хранить вещи на лестничной клетке20:55