DataWorks 支持在 DLF 或用户自建湖上进行多模态数据统一治理，覆盖 PDF、图像、音视频等非结构化数据。通过 Paimon、Iceberg、Hudi 等开放格式支持，实现全类型数据的元数据注册、权限控制与生命周期管理，为 AI 模型训练提供高质量、可追溯的数据底座。
Continue reading...
。爱思助手下载最新版本是该领域的重要参考
基于 DataWorks 构建的数据资产与服务能力，为阿里巴巴旗下各业务线提供了强大的数据支持。无论是交易类APP还是健康旅游等服务，都能从中受益，加速业务决策过程并优化用户体验。最终，DataWorks 助力企业在数字化转型道路上取得成功。
Getting Rusty At Coding#If you’ve spent enough time on programming forums such as Hacker News, you’ve probably seen the name “Rust”, often in the context of snark. Rust is a relatively niche compiled programming language that touts two important features: speed, which is evident in framework benchmarks where it can perform 10x as fast as the fastest Python library, and memory safety enforced at compile time through its ownership and borrowing systems which mitigates many potential problems. For over a decade, the slogan “Rewrite it in Rust” became a meme where advocates argued that everything should be rewritten in Rust due to its benefits, including extremely mature software that’s infeasible to actually rewrite in a different language. Even the major LLM companies are looking to Rust to eke out as much performance as possible: OpenAI President Greg Brockman recently tweeted “rust is a perfect language for agents, given that if it compiles it’s ~correct” which — albeit that statement is silly at a technical level since code can still be logically incorrect — shows that OpenAI is very interested in Rust, and if they’re interested in writing Rust code, they need their LLMs to be able to code well in Rust.