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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.
2AI 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.
3Practice of Large Model Technology in Financial Customer Service Discover how large model fine-tuning transforms financial customer service at China Everbright Bank. Explore 3 application paradigms, technical architecture, and achieve 80% ticket summary accuracy with AI.
4A Case Study on Debugging High-Concurrency Bugs in a Multi-Threaded Environment The article covers the debugging process for core dump issues, memory leaks, and performance hotspots, as well as the use of various tools such as GDB, Valgrind, AddressSanitizer, and Perf.
5Why WeTest Automation? Automation testing tools are applications designed to verify function and non-functional requirements via automated test scripts. We know lots of pros of automated testing such as reusability, reliability and running 24/7.