GitHub上最近出现了一个非常火的项目Agent-Skills-for-Context-Engineering，发布不到一周就斩获了2.3k ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

在代码大模型（Code LLMs）的预训练中，行业内长期存在一种惯性思维，即把所有编程语言的代码都视为同质化的文本数据，主要关注数据总量的堆叠。然而，现代软件开发本质上是多语言混合的，不同语言的语法特性、语料规模和应用场景差异巨大。如果忽略这些差异，笼统地应用通用的 Scaling Laws，往往会导致性能预测偏差和算力浪费。

Here are six predictions for how AI capabilities will evolve in 2026.

Report upload: Once the destination is determined, the report is automatically uploaded to SharePoint via MS Graph API. By specifying the folder path in the API request, it’s also possible to create ...

Learn how to integrate Single Sign-On (SSO) into your applications with this comprehensive developer guide. Includes code examples, flow diagrams, and best practices for secure authentication.

NVIDIA’s Nemotron 3 Nano 30B features a 1M token context and 3B-active design, helping you build faster workflows and test tools locally.

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...

But considering the sheer utility of Ansible, I figured I should try ditching Terraform for a few days and provision LXCs and virtual machines using a handful of playbooks and inventory files. Turns ...

Real-world asset tokenization is moving from a buzzy concept to a serious business strategy, and it’s pulling in industries that rarely cross paths. At its core, tokenizing assets means converting ...