Honghao Wang

A Comprehensive PDF Toolbox: Effortless Document Management | Open Source Daily No.795

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A Comprehensive PDF Toolbox: Effortless Document Management | Open Source Daily No.795

wmjordan / PDFPatcher GitHub Repository Stars: 11.2k License: NOASSERTION PDFPatcher is a comprehensive PDF processing toolbox offering both advanced and everyday utilities. Key Features * Bookmark Editing: Batch property modification, find-and-replace, auto-generation. * Page Manipulation: Crop, rotate, extract, or delete specific pages. * Content Restrictions: Remove copy/print limits and hidden junk data.

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Android 动效探索:彻底弄清如何让你的视频更加酷炫

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Translate the following blog post title into English, concise and natural. Return plain text only without quotes. Android 动效探索:彻底弄清如何让你的视频更加酷炫

Android Video Animation & OpenGL ES Guide --- Table of Contents * Video Animation — You Might Not Know Where to Start * Introduction to OpenGL ES Concepts * Easy Start — Implementing Video Animation with MediaPlayer * Level Up — Implement Video Animation Using a Custom FFmpeg Player * More Possibilities --- Overview In Android mobile video

The Birth of a Sales Data Analysis Bot: How Dify Achieves Automated Closed-Loop with DMS

Production AI

The Birth of a Sales Data Analysis Bot: How Dify Achieves Automated Closed-Loop with DMS

Background & Challenges Dify is a low-code AI application development platform that leverages intuitive visual workflow orchestration to lower barriers to large model application development. However, during enterprise-level deployments, two major limitations emerge: Key Bottlenecks * Limited Code Execution * The built-in Sandbox in Dify supports basic Python execution but cannot install

Z Tech | LMSYS Team Releases Large-Scale MoE Reinforcement Learning Framework Miles — Small Steps Lead to Long Journeys

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Z Tech | LMSYS Team Releases Large-Scale MoE Reinforcement Learning Framework Miles — Small Steps Lead to Long Journeys

!image Miles: Enterprise-Scale Reinforcement Learning for MoE & Production The lightweight RL framework slime quietly gained popularity thanks to its support for diverse post-training pipelines and Mixture-of-Experts (MoE) tasks — including GLM‑4.6. Building on that foundation, the LMSYS team has officially introduced Miles: a reinforcement learning framework purpose-built for