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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.
2Beyond Manual Repetition: 3 Strategic Paths for Test Automation Trapped in manual regression testing? Discover 3 practical directions for test engineers to implement automation: Shift-left testing, efficient UI automation, and CI/CD integration. Learn how to reduce bug fix cycles by 60% and boost your professional value.
3Testing as a Craft: Reshaping QA in the Age of AI (20-Year Insight) Explore the 20-year evolution of software testing. From manual automation to DeepSeek R1, a veteran practitioner shares deep insights into AI-driven innovation, technical paradigms, and the future of the testing craft. Read the full roadmap.
4How WeChat Reduces FOOM: Advanced Android Memory Monitoring Strategies The primary memory monitoring tool for iOS currently is Instruments' Allocations, which can only be utilized during the development stage. This article will explain how to create an offline memory monitoring tool to identify memory-related issues after the app has been launched.
5Why Do You Need Compatibility Testing Tools Compatibility testing tools are software programs that test an app or game to know whether it is compatible with different operating systems, network environments, applications, or mobile devices.