testRigor Blog

Weekly QA Testing Knowledge

Edge AI vs. Cloud AI

The field of artificial intelligence (AI) is growing rapidly. As a result, there is a growing requirement to process data effectively to balance speed, scalability, and resources. AI deployment has been dominated by Edge AI and Cloud AI, the two main architectures. Whereas Edge AI deals with real-time intelligence in data generation, Cloud AI uses …

What is Infrastructure as Code (IaC)?

Gone are the days of racking servers, SSH-ing into machines, and running setup scripts manually. Today, infrastructure is ...

Anomaly Reports: How to use AI for Defect Detection?

“The pace of progress in artificial intelligence is incredibly fast unless you have direct exposure to groups like ...

Micro-frontends Automated Testing: Is It Possible?

Micro-frontends have considerably evolved the design and development of modern web applications. They extend the concept of ...

Retrieval Augmented Generation (RAG) vs. AI Agents

Artificial intelligence (AI) has come a long way, leaving us at a position where we tend to see debates about which AI method is ...

QA Tester Career: Average Salary and Weekly Hours Explained

Let’s look beyond the bugs… A QA tester has a lot more on their plate than just finding bugs. In today’s ...

How to use AI to test AI

These days, you’ll find artificial intelligence being a part of almost every application. You can see them as large ...
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