https://blog.youkuaiyun.com/rkjavazh-cnhttps://blog.youkuaiyun.com/https://blog.youkuaiyun.com/rkjava/article/details/141188549https://blog.youkuaiyun.com/rkjava/article/details/141188549rkjavaWed, 14 Aug 2024 22:45:00 +0800https://blog.youkuaiyun.com/rkjava/article/details/140988080https://blog.youkuaiyun.com/rkjava/article/details/140988080rkjavaWed, 07 Aug 2024 11:55:49 +0800https://blog.youkuaiyun.com/rkjava/article/details/135514817https://blog.youkuaiyun.com/rkjava/article/details/135514817rkjavaWed, 10 Jan 2024 22:39:05 +0800https://blog.youkuaiyun.com/rkjava/article/details/135491915https://blog.youkuaiyun.com/rkjava/article/details/135491915rkjavaWed, 10 Jan 2024 07:23:13 +0800https://blog.youkuaiyun.com/rkjava/article/details/135491725https://blog.youkuaiyun.com/rkjava/article/details/135491725rkjavaTue, 09 Jan 2024 22:59:22 +0800https://blog.youkuaiyun.com/rkjava/article/details/135491586https://blog.youkuaiyun.com/rkjava/article/details/135491586rkjavaTue, 09 Jan 2024 22:52:00 +0800https://blog.youkuaiyun.com/rkjava/article/details/135468456https://blog.youkuaiyun.com/rkjava/article/details/135468456rkjavaMon, 08 Jan 2024 22:55:16 +0800https://blog.youkuaiyun.com/rkjava/article/details/135466246https://blog.youkuaiyun.com/rkjava/article/details/135466246rkjavaMon, 08 Jan 2024 22:49:10 +0800https://blog.youkuaiyun.com/rkjava/article/details/135446289https://blog.youkuaiyun.com/rkjava/article/details/135446289rkjavaSun, 07 Jan 2024 22:42:02 +0800https://blog.youkuaiyun.com/rkjava/article/details/135433399https://blog.youkuaiyun.com/rkjava/article/details/135433399rkjavaSun, 07 Jan 2024 22:41:03 +0800https://blog.youkuaiyun.com/rkjava/article/details/135432655https://blog.youkuaiyun.com/rkjava/article/details/135432655rkjavaSat, 06 Jan 2024 22:07:02 +0800https://blog.youkuaiyun.com/rkjava/article/details/135432276https://blog.youkuaiyun.com/rkjava/article/details/135432276rkjavaSat, 06 Jan 2024 21:42:21 +0800https://blog.youkuaiyun.com/rkjava/article/details/135397367https://blog.youkuaiyun.com/rkjava/article/details/135397367rkjavaThu, 04 Jan 2024 22:43:29 +0800https://blog.youkuaiyun.com/rkjava/article/details/135397645https://blog.youkuaiyun.com/rkjava/article/details/135397645rkjavaThu, 04 Jan 2024 22:42:19 +0800 SQL样本，我们除了正确的表之外，还随机选择了数据库中的其他表，直到达到4000个令牌的上下文窗口限制为止。然而，由于最先进的LLM尚未开放进行微调，因此最近在这一领域的研究集中在创建能够在不修改基础LLM的情况下实现复杂的自然语言到SQL（NL-to-SQL）场景的检索增强生成（RAG）算法。我们将使用耶鲁大学的。此外，对于任何实际的用例，如果有大量的表，则训练集中的样本还应该训练模型选择正确的表格用于SQL查询（即执行模式链接）。]]>https://blog.youkuaiyun.com/rkjava/article/details/135351960https://blog.youkuaiyun.com/rkjava/article/details/135351960rkjavaWed, 03 Jan 2024 23:13:43 +0800https://blog.youkuaiyun.com/rkjava/article/details/135372638https://blog.youkuaiyun.com/rkjava/article/details/135372638rkjavaWed, 03 Jan 2024 20:57:21 +0800https://blog.youkuaiyun.com/rkjava/article/details/135349995https://blog.youkuaiyun.com/rkjava/article/details/135349995rkjavaTue, 02 Jan 2024 21:06:26 +0800https://blog.youkuaiyun.com/rkjava/article/details/135349743https://blog.youkuaiyun.com/rkjava/article/details/135349743rkjavaTue, 02 Jan 2024 20:51:25 +0800https://blog.youkuaiyun.com/rkjava/article/details/133000043https://blog.youkuaiyun.com/rkjava/article/details/133000043rkjavaWed, 20 Sep 2023 23:12:47 +0800https://blog.youkuaiyun.com/rkjava/article/details/133049906https://blog.youkuaiyun.com/rkjava/article/details/133049906rkjavaTue, 19 Sep 2023 22:47:33 +0800