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1Enhancing Business Value with Automation: Practical Team Practices Learn how QJIAYI Tech Quality Team enhances automation business value with practical practices. 10k+ test cases, 80+ monthly bugs detected—turn automation into a business-driven capability.
2Mastering 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.
3Performance Testing Techniques: Ensuring Accurate and Reliable Results In this article, we explore several techniques that can help performance testing engineers improve the setting of performance testing environments, isolate testing environments, optimize network bandwidth availability, use test...
4Advancing Test Quality | Core Process (1): Test Plan and Requirements Analysis: How to Build a Test Framework in the AI Era Master the 2026 intelligent testing paradigm. Learn how AI agents optimize requirements analysis and dynamic test planning, covering ROI, model fairness, and "shift-left" strategies for superior software quality.
5Prompt 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.