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1LLM Security Testing in ToB Scenarios: A Practical Guide & Framework Explore the unique security risks of LLMs in ToB scenarios, including prompt injection and system prompt leakage. Learn about the 'llm-safe-test' framework and how to automate safety judgment for enterprise AI applications.
2Enhancing Mobile Application Quality through Input Data Processing This article explores the significance of input validation and testing in mobile applications, focusing on different input sources such as user inputs, updates, and data feeds.
3Functional vs Performance Requirements When defining functional vs performance requirements, the first one should address what a system should do and the second what level of quality should be met.
4Effective Package Reduction and Optimization Techniques for App Developers Today, let's discuss how Tencent staff tackle the issue of package reduction and optimization to make their apps more efficient and user-friendly!
5Mastering Large Model Development from Scratch: Beyond the AI "Black Box" Stop being a mere AI "API caller." Learn how to build a Large Language Model (LLM) from scratch. This guide covers the 4-step training process, RAG vs. Fine-tuning strategies, and how to master the AI "black box" to regain freedom of choice in the generative AI era.