This method offers a structured approach for developers and individuals in ASEAN to improve their AI project outcomes and personal capabilities.
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Developers can now deploy MCP servers in AgentCore Runtime and integrate them with Amazon Quick without custom connectors for each use case.
This benchmark helps developers in ASEAN choose the most performant voice APIs for real-time applications by comparing actual latency measurements.
The integration provides Southeast Asian creative teams with a unified workflow to speed up production of storyboards and video concepts using existing AWS infrastructure.
Understanding these three mechanisms helps demystify how large language models work and why they can answer questions without explicit memorization.
The guide provides practical SFT data preparation techniques that developers in ASEAN can implement with AWS services to improve model performance.
For developers in ASEAN working with AI Agents, this guide provides practical techniques to improve context management, potentially reducing development time by ensuring agents have the necessary project-specific information.
Developers in ASEAN can apply this workflow to build AI features faster while maintaining human control over critical decisions.
Gradio 3.0 offers a streamlined approach to creating AI applications with multi-framework support, making it accessible for developers in the region.
Developers can implement enterprise-grade safety measures for LLM applications using this practical guide to NeMo Guardrails.
Linus Torvalds分享了他如何利用AI辅助调试Linux内核的经验,AI在调试过程中发挥了重要作用,值得一试。
Developers in ASEAN can apply these verification techniques to improve productivity with coding agents like GitHub Copilot or Cursor without relying solely on manual code reviews.
Developers using Claude can understand how to detect and remove watermarks in their AI-generated content.
AutoFigure helps researchers create publication-ready figures without manual design work, saving time for academics in ASEAN universities and research institutions.
Developers can now create native UIs quickly with coding agents, improving their tools' usability compared to command-line interfaces.
AWS 教你用 Snowflake、SageMaker Canvas 和 QuickSight 做无代码机器学习,第三部分讲怎么把预测结果做成仪表盘和报告,还能用自然语言提问,比 Excel 强多了。
AWS 教你用 SageMaker Canvas 连接 Snowflake,可视化处理数据,还能训练 XGBoost 模型,全程不用写代码,超适合想快速上手 ML 的人。
AWS 教你用 Snowflake 和 SageMaker Canvas 搭建无代码机器学习工作流,第一部分讲怎么在 AWS 上配置 Snowflake,为后续做欺诈检测模型打基础。
Developers can implement this DPO fine-tuning method to improve model alignment without memorizing dataset artifacts.
Willison测试smolmachines当不信任Python和JavaScript代码的沙盒,用GitHub Actions直接跑测试,和之前在Claude Code for web上的方法不一样,现在能更好地执行用户任务了。
有人把2.9MB的歌压到21KB,打印成8个二维码存纸上,扫码还能听,挺有意思的折腾。
作者拿161个RSS源喂了个AI主编,自动挑新闻,比他自己选得还准。教程直接手把手教你怎么搭,想省心看新闻的可以学一下。
还在让 AI 猜 CAD 的 API?用 GitMCP 把仓库喂给它,Cursor 等工具直接读源码,再也不怕接口瞎编。
索尼工程师公开了PSSR增强版怎么改的:不让AI硬扛全部重建,改回传统滤波加AI预测权重,画质提升还省资源,技术宅可以看看。
想自己做工具调用模型?这篇手把手教你用XYZ-Aquila-SFT和Qwen3微调,从数据到LoRA都有。
Anthropic 出了份 Claude Code 省钱指南,六招避开 token 燃烧坑,缓存命中直接省 90%,码农必看。
给老博客补标签别硬分类——先让LLM随便编,再用向量嵌入找最接近的现有标签。Simon Willison分享的这套路,比直接要模型选1856个标签里的一个靠谱。