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1How LLMs are Reshaping Finance: AI Applications & Case Studies Explore how top banks like ICBC, CCB, and CMB are leveraging LLMs (DeepSeek, Qwen) for wealth management, risk control, and operational efficiency. A deep dive into the financial AI ecosystem.
2Testing Considerations for Location-Based Apps This article will discuss key considerations for testing location-based apps, including GPS and network testing, battery consumption, permissions and privacy, geofencing and proximity alerts, integration with mapping services, performance testing, and usability.
333 LLM Evaluation Metrics: A Complete Guide for 2026 | Performance, Quality & Cost Learn how to evaluate Large Language Models with 33 essential metrics covering latency, output quality, safety, and cost. Includes a practical learning roadmap for AI engineers and testers.
4Advancing Test Quality | Foundations (4): Testing in the SDLC—Comparing Waterfall, Agile, and DevOps Methodologies Learn how software testing adapts to Waterfall, Agile, and DevOps models. Discover strategies for "Shift-Left" and "Shift-Right" testing, automated CI/CD integration, and hybrid SDLC approaches to maximize quality in the 2026 tech landscape.
5How to Confirm the Performance of Mobile Game - Network Performance Testing (Part 3) In this article, we will explore the importance of network performance testing and highlight key considerations for optimizing connectivity and gameplay.