Feb 18 · 4 min read · Managing XML in Java can often feel like wrestling with complexity verbose DOM code, heavy memory usage, or tedious manual parsing. XmlLoom changes that. XmlLoom is a high-performance, annotation-driven Java library for XML parsing and writing, built...
Join discussionFeb 17 · 11 min read · Welcome back to our Network Automation series. Last week, we utilized SSH and Netmiko to back up configurations. This week, we will explore modern network APIs. Rather than delving into complex setups
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Jan 27 · 3 min read · Beginner Tutorial - How to Get Verified on Binance Introduction Are you looking to enhance your trading experience on Binance? One way to do this is by getting verified on the platform. In this beginner tutorial, we will guide you through the steps t...
Join discussionJan 26 · 5 min read · Overview A serious security vulnerability has just been discovered in Fortinet FortiSIEM, a security management and monitoring platform trusted by many businesses but ironically is being actively exploited by hackers in the wild. Notably, this vulner...
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Jan 21 · 7 min read · Tổng quan Một lỗ hổng bảo mật nghiêm trọng vừa được phát hiện trong Fortinet FortiSIEM, một nền tảng quản lý và giám sát an ninh được nhiều doanh nghiệp tin dùng nhưng trớ trêu thay lại đang bị tin tặc khai thác tích cực ngoài thực tế. Đáng chú ý, lỗ...
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Jan 9 · 3 min read · Introduction In today’s data-driven world, organizations often work with XML (eXtensible Markup Language) to store, transport, and exchange structured information. XML is ideal for machine processing but can be cumbersome for human analysis. Converti...
Join discussionJan 3 · 3 min read · In my previous article, “XML Is Making a Comeback in Prompt Engineering — And It Makes LLMs Better”, I argued that structured prompts—especially XML-style prompts—offer advantages as prompt engineering matures into a production-grade discipline. Fran...
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Jan 2 · 6 min read · Introduction: Prompt Engineering and Its Evolution Prompt engineering is the practice of designing inputs to Large Language Models (LLMs) in a way that reliably produces accurate, safe, and useful outputs. While early experimentation focused on natur...
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