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Author: Arunangshu Das
Trust me, I'm a software developer—debugging by day, chilling by night.
The interconnectedness of Artificial Intelligence, Machine Learning, Deep Learning, and Beyond
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are revolutionizing the modern world by transforming how businesses operate and how people interact with technology. Artificial Intelligence (AI) is no longer a futuristic concept—it has become an integral part of our everyday lives. From personalized recommendations on streaming platforms to self-driving cars and intelligent virtual assistants, AI is reshaping the way we live, work, and make decisions. At the heart of this revolution lie Machine Learning (ML) and Deep Learning (DL), two powerful branches of AI that enable computers to learn from data, recognize patterns, and make intelligent decisions…
Artificial Intelligence (AI) is transforming industries, and Large Language Models (LLMs) are at the center of this revolution. From AI-powered chatbots and virtual assistants to content generation, coding assistants, and enterprise automation, LLMs are enabling businesses to build intelligent applications that improve productivity and customer experiences. However, building an LLM is only one part of the process. The real challenge begins when you need to make it available for real-world use. Understanding how to deploy Large Language Model solutions efficiently is essential for delivering fast, secure, and scalable AI applications. A poorly deployed model can lead to slow response times,…
Why Deep Learning requires GPU?
In artificial intelligence, deep learning has emerged as a transformative force, revolutionizing industries ranging from healthcare to finance, and from transportation to entertainment. At the heart of this revolution lies the neural network, a computational model inspired by the human brain. However, the computational demands of training and deploying these networks are immense, often requiring substantial processing power. Herein lies the critical role of Graphics Processing Units (GPUs) in deep learning. Understanding Deep Learning: Before delving into the significance of GPUs, it’s essential to grasp the fundamentals of deep learning. Deep learning is a subset of machine learning that utilizes…