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Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Generating structured JSON from language models is a challenging task. The generated JSON must be syntactically correct, and it must conform to a schema that specifies the structure of the JSON.

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

This study from Suganthan reveals hidden fields in ChatGPT's network traffic that decide which sources get fetched, cited, or ...

Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Is Linux Kernel 7.2 really 43 million lines? We verified the count with wc, cloc, tokei, and scc tools and explain why the ...

I have tested every major backlink API provider in the game. Here is my senior-level breakdown of the best backlink API options for white/gray-hat pros.

Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...

The printed values should match the table above (and the shipped reference results/*agg_metrics.json). Which JSON key is which paper column differs by dataset (EPIC objects are symmetric, so its ...

本文介绍一个完整的"AI智能体工厂"平台的设计与实现。该平台以本体模型（Ontology Model）作为中间表示层，打通了从原始业务需求到可运行AI智能体的完整链路：需求探索 → 本体建模 → 可视化验证 → 能力代码生成 → 技能封装 → Agent动态发布。 今天完整分享下最近通过AI编程实现的一个基于本体模型+AI大模型驱动的端到端AI智能体交付平台。包括需求分析，整体设计，核心功能实现。