Image Credit: dataconomy When training a machine learning model, one of the most common question is, How many epochs should I run? The answer isn’t always straightforward. An epoch refers to one complete pass of the training dataset through the model. Running multiple epochs can bring big benefits, but also big risks if not handled […]
Image credit: otalk9focus Reinforcement Learning (RL) is a core pillar of modern AI systems. It mimics how human learn by trying, receiving feedback, and improving over time. (To better understand RL, think of how dogs are trained with rewards and penalties.) Unlike supervised learning, where models learn from labeled datasets, RL allows AI to explore […]
Software testing has been a key part of high quality product delivery, but most traditional methods require a significant manual work and technical knowledge. Gen AI Testing is transforming this, by enabling testers to interact with AI via basic prompts without needing deep automation expertise. Instead of building complex test scripts, testers can ask AI […]
Low code and no code platforms are transforming how the software is developed, making it faster and more accessible. These platforms provide visual development environments, pre built components, and simple drag and drop features, enabling applications to be built with minimal coding knowledge. This democratization of development allows even non technical teams to create functional […]