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AI in Testing

AI in Testing

Vibium AI: The $3.8 Billion Promise That Doesn’t Exist Yet—Why QA Teams Are Going Crazy Over Vaporware

The Most Anticipated Software Tool That You Can't Actually Use The testing world has gone absolutely insane over Vibium AI—Jason Huggins' promised AI-native successor to Selenium. The only problem? It doesn't exist yet. Despite...
Certifications & Courses

Free MCP Course by Anthropic: Learn Model Context Protocol to Supercharge AI Integrations

Model Context Protocol (MCP): The Secret Sauce Behind Smarter AI Integrations If you’ve ever wished you could connect Claude...
AI in Testing

Jason Huggins’ Bold Vision for Vibium and the Future of AI Testing

Following Jason Huggins' revealing interview on the TestGuild Automation Podcast, here's a comprehensive analysis of his latest venture—Vibium....
AI in Testing

Mastering Web Application Debugging: Playwright MCP with GitHub Copilot Integration

The Challenge Every QA Professional Faces Picture this scenario: You receive a detailed bug report with clear reproduction steps,...
AI in Testing

Getting Started with Vibium: AI-Native Test Automation Revolution

In the rapidly evolving world of test automation, Vibium represents the next generation of AI-native browser automation. Created by...

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Leveraging Keras for AI Testing and Development

AI in Testing Ishan Dev Shukl Ishan Dev Shukl -
Introduction Overview of Keras Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It...

Building Your First Neural Network with PyTorch

AI in Testing Ishan Dev Shukl Ishan Dev Shukl -
1. Introduction to PyTorch PyTorch is an open-source machine learning library developed by Facebook's AI Research lab. It is widely used for deep learning applications...
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