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1Challenges and Solutions in Exception and Crash Management. Nowadays, The online environment is complex and abnormal errors are hard to find, "needle in a haystack" will lead to low efficiency, high cost of troubleshooting.
2Mastering 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.
3Non-functional Testing Types Introduction: Ensuring High-Quality Software Applications Software applications have become an integral part of our lives, and with the ever-increasing demands for high-quality software, developers have to ensure that their applications meet the highest standards of performance, security, usability, reliability, and compatibility.
4LLM 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.
5The Vital Role of Functional Testing in Software Quality Assurance In this article, we will discuss the primary objective of functional testing, its importance in software quality assurance, and the challenges associated with it.