Java做AI的首要重点是解决“技术兼容”问题。传统Java团队擅长SpringBoot、MyBatis等框架，但AI开发涉及大模型调用、向量数据库、Embedding处理等全新组件，自行封装易导致代码臃肿、稳定性差。真正的关键是构建统一接入层，通过标准化接口屏蔽底层模型差异，让Java工程师用熟悉的方式调用AI能力，避免“重复造轮子”。
在企业数智化深入推进的当下，AI已从可选创新变为必备能力。作为支撑大部分企业级系统的主流语言，Java技术团队自然成为AI落地的核心力量，但传统开发经验与AI技术特性的断层，让不少团队陷入"有需求、缺方法"的困境。其实对Java团队而言，AI转型无需推翻现有技术积累，关键在于找到适配自身生态的开发框架，实现能力的增量升级。 自主可控：AI开发的核心底气 企业引入AI方案时，"数据安全"与"技术绑定 ...
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Chico Enterprise-Record on MSN
From Everest to Africa: Sky Adams’ journey to 20 years of clean water work
Taken with the beautiful scenery and the support of the sherpas on her journey, Sky said she began to get what she calls "nudges." These "nudges" are what she describes as messages from God that guide ...
The shooting of Alex Pretti by ICE agents prompted celebs to speak out, and now they say they are paying the price.
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