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1Mastering Large Model Development from Scratch: Beyond the AI "Black Box" Stop being a mere AI "API caller." Learn how to build a Large Language Model (LLM) from scratch. This guide covers the 4-step training process, RAG vs. Fine-tuning strategies, and how to master the AI "black box" to regain freedom of choice in the generative AI era.
2Prompt Engineering for Intelligent Testing: LLM Optimization & Cases Master 6 core prompt optimization techniques for AI-powered intelligent testing. Explore real enterprise cases, common pitfalls and best practices to stabilize LLM outputs for software testing.
3AI-Driven Testing: Evolution from Assistance to Autonomy — Youzan, Ctrip & China Unicom Case Study Explore how Youzan, Ctrip, and China Unicom are revolutionizing QA. Learn about the shift from AI-assisted to autonomous testing, featuring AITest, AI Tester, and intelligent computing network platforms. Discover key efficiency metrics and implementation strategies.
4Hybrid Remote Device Management: UDT Automated Testing Implementation at Tencent Learn how Tencent’s UDT platform scales hybrid remote device management. This case study details a 73% increase in device utilization and WebRTC-based automated testing workflows for global teams.
5Testing Basics: How to Check Phone Compatibility with Mobile Games? Wondering how to check phone compatibility with the apps you are developing? If yes then this article is for you where you can learn the core concepts which govern the smooth release of mobile apps and games. by keeping compatibility in check.