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1Comprehensive Guide to LLM Performance Testing and Inference Acceleration Learn how to perform professional performance testing on Large Language Models (LLM). This guide covers Token calculation, TTFT, QPM, and advanced acceleration strategies like P/D separation and KV Cache optimization.

2Software Testing Challenges and Tips: Ensuring Software Products Quality In this article, we will explore the common challenges faced by software testers and provide survival tips to overcome them.

3Quality Engineering vs Quality Assurance: What’s the Real Difference? Quality engineering vs quality assurance, what are their roles and differences? While both are very important in software development, there are still significant differences between the two. Understanding the differences can help us go further and deeper in our software testing work.

4Breaking Murphy’s Law in Testing: How to Avoid UAT Project Failures Learn how proactive full-lifecycle quality governance helps software test teams break Murphy’s Law, eliminate self-fulfilling UAT risks, and transform from reactive execution to strategic QA leadership.

52026 AI Trends in Software Testing: From LLMs to Autonomous Agents Explore the top AI predictions for 2026. Learn how open-source models, self-verifying agents, and interoperable ecosystems are ending the "bigger is better" era to deliver real-world ROI and smarter automation.

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