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Mobile Compatibility Testing: How to perform On Real Devices?

How many times have you heard the sentence that starts with “This software is compatible with Windows 8 and above” or “Only compatible with Android version 6.0 and above”? I am sure this would ring a bell for all gamers as games are highly sensitive to the platform they are run on. But for non-gamers too this would be the first thing they need to check if they know they are operating on an older version of the operating system.

Use AI to train AI: prompt learning using OpenAI API and ClearML

Making a Question Answering (QA) bot that can cite your own documentation and help channels is now possible thanks to chatGPT and Langchain, an open-source tool that cleverly uses chatGPT but doesn’t require retraining it. But it’s a far cry from “out of the box.” One example is that you have to get the prompt just right. To get an LLM (large language model) to do exactly what you want, your instructions will have to be very clear, so what if we automate that too?

[Webinar] Making the Move: Open Source Selenium to Katalon Testing

Selenium, like many open-source automation frameworks, provides great functionality but has limited scalability. As software teams, and the digital experiences they are delivering, grow and evolve so to do their needs. Suraj Jadhav, Head of QA Practice at QualityKiosk, quickly observed that many clients who started their QA automation efforts using Selenium needed help migrating to a more comprehensive and scalable quality platform such as Katalon.

Say Hello to ClearML's Machine Learning-Powered Sarcasm Detector: How to Train a Language Classifier using ClearML

by Victor Sonck, Developer Advocate, ClearML Sarcasm can be difficult to detect in text, especially for machines. However, with the power of large language models, it’s possible to create a tool that can identify sarcastic comments with high accuracy. That’s exactly what the ClearML team did with their latest project: a sarcasm detector that combines various ClearML tools to showcase the capabilities of MLOps.