Machine Learning

Introduction The landscape of artificial intelligence (AI) has evolved rapidly, with models like GPT-OSS and Qwen3 leading the charge. These models represent significant advancements from their predecessors, such as GPT-2, offering enhanced capabilities and accessibility. This blog delves into the evolution of AI models, providing a detailed comparison of GPT-OSS and Qwen3, and explores their implications for the future of AI. The Evolution from GPT-2 Since the introduction of GPT-2 in 2019, AI models have seen remarkable progress. GPT-2 demonstrated the potential of large language models (LLMs) in generating coherent text. However, it was limited by its model size and training data. Subsequent models, including GPT-3 and its variants, have expanded in scale, with improvements in training techniques and application capabilities. This section traces the journey from GPT-2 to the current models, highlighting key advancements. ...

In today’s fast-paced business environment, the transition from paper-based to digital processes is not just an option but a necessity. Businesses are increasingly seeking efficient solutions to streamline operations, reduce costs, and enhance productivity. Enter Epson and Umango, two industry leaders whose partnership is set to redefine data capture and workflow automation. Overview of Epson and Umango Epson, renowned for its innovative hardware solutions, has long been a trusted name in printers, scanners, and projectors. Their focus on precision and reliability makes them a preferred choice for businesses worldwide. Umango, on the other hand, specializes in workflow automation, leveraging AI and machine learning to optimize business processes. Together, they offer a seamless integration of hardware and software, creating a powerful solution for modern business needs. ...