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AI software testing has become an important game-changer in the continuously changing field of software testing. Traditional testing methods are no longer competent with the emergence of cutting-edge technologies like Large Language Models (LLMs) and Machine Learning (ML). Specialised techniques like ML Models Testing, LLM Testing, and the use of AI Generator Testers have emerged as a result of the need to validate, verify, and optimise intelligent systems. The Venkatesh (Rahul Shetty) project is the source of this blog, which explores how AI is changing the testing environment and how to effectively test machine learning models integrated into concurrent software. What is AI Software Testing? AI software testing is the process of automating, improving, and speeding up software testing through the use of artificial intelligence technologies. AI systems can analyse vast amounts of data, identify patterns, and spot something that a human might overlook, eliminating the need to manu...

In today's fast-paced development world, manual API testing just doesn’t cut it. Automation has become the cornerstone of efficient and reliable API testing. If you're just starting out or want to upgrade your skills, this step-by-step tutorial to automate API testing in Postman guided by concepts from experts like Venkatesh (Rahul Shetty) will help you master everything from basic request handling to Postman performance testing . Whether you’re a beginner or an intermediate tester, this Postman tutorial for API testing is the perfect starting point. Let’s dive in. What is API Testing? API (Application Programming Interface) testing involves validating endpoints, data responses, status codes, and business logic of software services. It is crucial for ensuring the backend of your applications functions correctly. Unlike UI testing, which checks the front-end, API testing digs deep into how components interact and exchange data making it faster, more reliable, and suitable ...