最近几天,中国低成本大语言模型深度求索(DeepSeek)欧美AI圈引起了不小的震动。据悉,来自杭州的初创企业深度求索1月20日发布DeepSeek-R1,该模型在测试表现、训练成本和开源开放程度等多个基准测试中均超越“ChatGPT之父”美国OpenAI公司的最新模型o1,但成本仅为o1的三十分之一。
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US threats to seize Greenland have created ‘new international fault lines’ that can be used to spread disinformation, Danish intelligence agencies say,推荐阅读搜狗输入法2026获取更多信息
One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.