We use AI models such as chatbots, copilots, and AI agents that generate text and are astonishingly capable. Most of the time, these AI models generate sensible output, but sometimes they confidently produce information that is incorrect, unsupported, or misleading. This is an AI hallucination. This is the AI model's failure mode: hallucinated content sounds [...]
From rule-based systems to complex machine learning (ML) and deep learning models that outperform humans in image recognition, natural language processing (NLP), medical diagnosis, and financial forecasting, artificial Intelligence (AI) has rapidly evolved. However, as innovation and development continue, these models grow in complexity and begin behaving like "black boxes". As a result, they produce [...]
AI, or Artificial Intelligence, is rapidly transforming the field of software testing. With its ability to automate repetitive tasks, analyze vast amounts of data, and detect potential issues that may not be visible to human testers, AI is proving to be a powerful technology for improving the efficiency and accuracy of software testing. Here are [...]
Artificial intelligence (AI) systems are now embedded into nearly every aspect of modern technology, from search engines to self-driving vehicles and from fraud detection to conversational agents. As AI systems grow in influence and their use increases, the consequences of errors, vulnerabilities, and blind spots become more significant. Adversarial testing is one of the most [...]
Artificial Intelligence (AI) is influencing nearly every sector, from healthcare and finance to education and entertainment. But as AI systems grow in complexity and sophistication, there is an underlying question: How do we know whether these systems are doing what they should? The solution is called AI evaluation - often known as AI Eval. AI [...]
AI is everywhere, even in testing. These days, more and more tools are finding ways to incorporate AI into them to make life easier for software testers. Are these AI testing tools any different from the regular testing tools? How do these tools incorporate AI? What AI testing tools to choose from? This article will [...]
“AI agents will become the primary way we interact with computers in the future. They will be able to understand our needs and preferences, and proactively help us with tasks and decision making” – Satya Nadella. We live in an age where artificial intelligence is seeping into every part of our lives. The field of [...]
Selenium is a popular and widely used tool for test automation. Its versatility and open-source nature make it a top pick for most testers. However, with AI in the game now, Selenium's offerings can fall short. Hence, you need to find ways to incorporate AI into your Selenium test automation to make the entire process [...]
Traditional software testing methods often struggle to keep pace with the rapid evolution of software applications. The increasing complexity of modern software systems demands innovative solutions to ensure quality and reliability. Generative AI, with its ability to learn from vast amounts of data and generate creative solutions, offers a promising avenue to address these challenges. [...]
Modern software development requires fast iteration and high quality. The acceleration of release schedules and growing competitiveness in the market means that businesses will demand software quality assurance (QA) to be re-imagined. As we know, the conventional testing approaches that are based on manual and rule-based automation implementations can not match this speed/complexity at its [...]
