Boston Institute of Analytics

Generative AI is changing the game in 2025—from hyper-realistic art to AI-generated films, fashion design, and drug development. Behind this rapid evolution are two powerful architectures: GANs (Generative Adversarial Networks) and Diffusion Models . If you're considering a Generative AI course in Kolkata , understanding the core differences between these two models is essential to mastering the technology shaping tomorrow. These models are not only academic concepts but engines driving real-world applications. As companies increasingly rely on synthetic data, AI-generated content, and automation, the need to understand these underlying technologies becomes critical for developers, researchers, and creators alike. What Are GANs? GANs , introduced by Ian Goodfellow in 2014, consist of two neural networks that compete with each other—the generator , which creates data, and the discriminator , which evaluates it. Over time, the generator improves until it creates data indistingui...

In recent years, Generative AI has moved from the pages of science fiction to becoming one of the most exciting and disruptive technologies shaping industries across the globe. From creating human-like text and realistic images to composing music and designing products, Generative AI is revolutionizing how we think about creativity and automation. If you're eager to understand the science behind this technology and how it creates novel content, exploring a Generative AI course in Kolkata can be your first step toward mastering this field. With hands-on guidance, you can dive deeper into how these powerful AI models generate new ideas, designs, and solutions. In this blog, we’ll break down the core science of Generative AI, how these systems work, and what makes them capable of mimicking and even enhancing human creativity. What Is Generative AI? Generative AI refers to artificial intelligence systems that can create new data, content, or solutions rather than simply analyzin...