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1How to Test AI Products: A Complete Guide to Evaluating LLMs, Agents, RAG, and Computer Vision Models A comprehensive guide to AI product testing covering binary classification, object detection, LLM evaluation, RAG systems, AI agents, and document parsing. Includes metrics, code examples, and testing methodologies for real-world AI applications.
2Overcoming Cloud Real Device Challenges: WeTest’s Exclusive Solution for Lagging and Access Restrictions Public cloud technology has met the testing needs of numerous small and micro-enterprises as well as individuals. However, as customers delve deeper into usage, they encounter a range of new issues. In this article, we will provide answers to several common questions.
3Imagination and Tencent WeTest carry out in-depth cooperation to help developers obtain key report o WeTest’s PerfDog tool adds more than 80 GPU Counters across all platforms and architectures, providing developers with detailed interpretation on data indicators of PowerVR GPU
4AI Testing: The Challenges of AIGC Implementation in the Testing Domain Explore the key challenges of AIGC implementation in the software testing domain. Learn how AIGC impacts testing processes, quality, and efficiency for testers and AI R&D professionals.
5How To Choose Right Tools For Your Test Automation The popularity of automated testing has been rising and there are increasing number of tools in the market. Because automated testing can contribute to your QA projects as well as increase your ROI, so choosing the right tool is significant.