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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.
2Performance Testing Metrics: What Exactly Does It Contain? Performance testing metrics are essential aspects to consider in a performance testing report. The objective of performance testing is to obtain relevant data about server performance under high user and data loads, analyze system bottlenecks, and enhance system stability.
3How to Do Localization Testing & Advantages Explained How to do localization testing” is often asked question by many testers. Localization testing is the crucial process of determining whether your newly localized software application or website can hold up to the cultural and usability standards of your target audience.
4Optimizing Word Frequency Statistics with Kafka and Spark Streaming In this article, we present an optimized solution using Kafka and Spark Streaming, which significantly reduces the cost of querying large numbers of indexes and improves the timeliness of word frequency updates.
5The 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.