老陈养老规划AI助手：把养老测算、险种匹配与养生文案装进 Agent Skill
老陈养老规划AI助手是 SkillHub 社区 Skill（@user_ec1ee472/laochenyanglaozhushou，v1.0.0，professional），整合养老金融、保险条款与健康管理知识，支持现金流测算、养老/医疗险匹配思路、节气养生建议及短视频脚本生成；requires_api_key=false。文章说明定位、四项核心能力、按 skillhub.md 安装到 Cursor/Claude Code/Codex 等 skills 目录的方法，并给出可复现提示词与合规使用注意。
Read MoreAlibaba Unveils 2.4T Parameter Flagship Model Qwen3.8-Max: 16-Day Independent Development and Open-Sourced Weights Spark Heated Discussion
On August 3, 2026, Alibaba released Qwen3.8-Max, which features a 2.4T MoE architecture and a million-token context window. It internally built and open-sourced oh-my-cli without manual intervention during 16 days of testing. The post on Hacker News gained over 1090 points. Next week will mark the first open release of the Max-level model weights, with support for OpenAI and Claude Code compatible APIs, sparking discussions about long-range programming Agents.
Read MoreDeploying Baidu Wenxin 4.5 Open-Source Large Model on AiStudio for Android Call
In the previous article "Deploying theERNIE 4.5 Open-Source Model for Android Device Calls", the blogger introduced how to deploy the ERNIE 4.5 open-source large language model on one's own server. However, for students without GPU servers, this approach is out of reach. Therefore, this article will introduce how to leverage the computing power on AiStudio for free to deploy the ERNIE 4.5 open-source large model for personal use.
Read MoreQuickly Deploy a DeepSeek-R1 Service from Scratch
Here are the simplest commands to introduce how to deploy the DeepSeek-R1 service. Anaconda is assumed to be already installed, and the vllm framework is used, making it easy to deploy even in China.
Read MoreNight Rain Drifting · A Thousand Questions: Answering Your Endless Queries
Night Rain Drifting · Qianwen Launcher is an efficient and convenient LLM (Large Language Model) launching tool. It supports the Windows system and requires an NVIDIA graphics card with a driver version above 516.01. The launcher comes pre - installed with multiple model specifications, suitable for different scenario requirements, with the minimum requirement of only 1G of video memory. The interface is divided into three parts: the Launch Page, the Chat Page, and the Log Page. The Launch Page is used to select and load model files (automatically downloads if not available locally). After clicking "Load", it seamlessly switches to the Chat Page for interaction; the Chat Page supports asking questions at any time, and the model provides an intelligent dialogue experience with instant responses; the Log Page records the usage
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