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1The Underlying Logic of Software Testing: Core Skills & Black‑Box Strategies Understanding the underlying logic of software testing: black‑box input‑output model, 2W1H analysis, tester core skills, and invisible outputs. Essential for QA engineers.
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.
3Striking the Balance: Achieving Intelligent Automation in Software Testing In this article, we will elucidate the fundamentals of intelligent automation to facilitate a better understanding of this subject matter.
4White Box Testing Example, Definition, and Methodologies This article explains a white box testing example and its basic definitions along with the methods used for this testing technique in software projects.
5Top Performance Bottleneck Solutions: A Senior Engineer’s Guide Learn how to identify and resolve critical performance bottlenecks in CPU, Memory, I/O, and Databases. A veteran engineer shares real-world case studies and proven optimization strategies to boost your system scalability.