如果你想查看微调后的效果,这里有一个基于 flutter_gemma 示例中的函数训练的模型:sasha-denisov/functiongemma-flutter-gemma-demo。该模型使用 284 个示例训练了 3 个函数(change_background_color、change_app_title 和 show_alert)。准确率显著高于基准模型。
It’s hard to overstate the role that Wi-Fi plays in virtually every facet of life. The organization that shepherds the wireless protocol says that more than 48 billion Wi-Fi-enabled devices have shipped since it debuted in the late 1990s. One estimate pegs the number of individual users at 6 billion, roughly 70 percent of the world’s population.
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I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
美國國土安全部去年底發聲明指,特朗普政府執政期間,有超過250萬名非法移民離開美國,超過60.5萬人是透過執法行動而被遣返,其餘則是自行離境,並稱這是「破紀錄」的一年。
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Москвичей предупредили о резком похолодании09:45
UK telecoms companies are retiring traditional landline services and replacing them with internet-based home phone connections.。业内人士推荐WPS下载最新地址作为进阶阅读