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:
Apple Watch SE 3代（GPS/40mm） — 219美元（原价249美元）🔥
。快连是该领域的重要参考
合作声明不等同于落地部署。多数公告采用“探索中”“评估阶段”等谨慎措辞，与服务百万用户的生产系统存在本质区别。Adobe自身声明也强调“不具约束力的协议无法保证最终达成合作”。从技术演示到企业级部署仍有漫漫长路。
purposecorecryptoarc4random(3)Common Cryptoinitializationccrngarc4_initccDRBGGetRngStaterandom bytesccrng_generatearc4random_bufCCRandomGenerateBytesrandom int between zero and a boundccrng_uniformarc4random_uniformCCRandomUniform
def maximum_memory_mb():