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Applied AI & ML

AI, Machine Learning, MLOps, AIOps

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ChatGPT – The Innovative AI Chatbot

Artificial Intelligent (AI) is the intelligence of machines or software that aims to perform tasks thought to require human intelligence, such as reasoning, learning, making decisions, solving problems, and even creativity. Today, the term ‘AI’ is popular in various fields of our life, including healthcare, finance, transportation, manufacturing, education, and entertainment. Chatbots, computer programs designed …

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How does AI improve automation testing progress?

AI is changing our world day by day and applying it in our work is becoming more popular now. It helps us save a lot of effort in daily tasks, and we can see AI applied in various kinds of fields like software development, graphic design, finance, transportation, etc. In this article, we’ll get to …

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AI’s role in reshaping testing practices: Analysis of Defect Reports & Automated test case generation

Testing, a cornerstone of software development, has long relied on the diligence of human. Nowadays, when it comes to AI era, we find ourselves at a crossroads — a moment of quiet revolution. How do we integrate these intelligent systems without losing the essence of our craft? Can technology truly enhance the precision and efficiency …

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The challenges in Testing AI-Based Systems

In today’s world, most people are familiar with the term AI, which stands for Artificial Intelligence. AI is a technology that allows machines and computers to mimic human skills such as communication, learning, and decision-making. Its influence is seen in many aspects of our lives, like predicting diseases, analyzing financial markets, offering virtual tutoring, autonomous …

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Risk Analysis in creating test strategy for AI-based systems

Nowadays, applying AI (Artificiant Intelligence) is probably the most trending approach in software development. Unlocking AI capabilities requires a quite different skill-set and mind-set of software engineers, as well as test engineers. In this blog, we’ll discover the possible risks during creating a test strategy for AI-based systems. In this context, ‘test strategy’ is the …

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Automate Visual Testing with AI

Visual testing is a software testing technique that focuses on evaluating the visual aspects of a software application’s user interface (UI) or graphical elements. It aims to ensure that the visual elements of the software, such as images, fonts, colors, layout, and overall design, appear correctly and as intended to users. Here’s how visual testing …

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Hello ChatGPT, RIP software developer?

This year has seen a remarkable explosion of interest in generative AI. Go back just six months, and most people had never heard of it. Now, it seems as though everyone – from tech professionals to students – is using it and experimenting, in particular, with the “poster child” ChatGPT. This has also generated increasing discussion …

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Develop Smarter, Not Harder: The Top 3 AI Coding Assistant Tools

The Innovation of Coding Assistance With the rapid evolution of technological landscapes, software development has become more and more complex. Developers face with challenges such as: managing large codebases, staying up to date with latest programming languages and frameworks, or debugging intricate issues. To address these challenges and enhance coding experience, a new modern generation …

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Mastering Word Embedding and Word2Vec

Word Embedding and Word2Vec have emerged as powerful techniques for understanding and representing the relationships between words. In this article, we will embark on a journey of exploration and implementation, diving into the world of Word Embedding and Word2Vec. By delving into their fundamentals and practical applications, we will uncover how these techniques revolutionize language …

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GANs in ML : A Comprehensive Guide

In the realm of machine learning, Generative Adversarial Networks (GANs) have emerged as a groundbreaking technique that revolutionises the way we generate and understand data. GANs enable us to generate realistic synthetic samples by pitting two neural networks against each other, resulting in astonishingly impressive outputs. In this blog post, we will dive deep into …

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The Power of Vertex AI Monitoring

Introduction: In today’s data-driven world, organizations are increasingly relying on artificial intelligence (AI) and machine learning (ML) models to extract valuable insights, make informed decisions, and automate processes. However, deploying and maintaining these models at scale can be a complex task. That’s where Vertex AI monitoring comes into play, providing a comprehensive solution to ensure …

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