多数关于 LangGraph 和 Semantic Kernel 的比较文章已经过时。过去六个月里，两个框架分别进行了重大的更新，所以本文将梳理的是实际发生的变化、当前的代码形态，以及如何进行技术选型。 2026 年构建 Python AI Agent 的现实状况是：都足够成熟的可选框架有两个 ...

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...

Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...

BPF is a powerful component in the Linux kernel and the tools that make use of it are vastly varied and numerous. In this article we examine the general usefulness of BPF and guide you on a path ...

Kernel Mode Linux (KML) is a technology that enables the execution of user processes in kernel mode. I described the basic concept and the implementation techniques of KML on IA-32 architecture in my ...