A generative AI tech stack refers to the foundational tools, frameworks, and technologies used to develop AI systems capable of producing new content. This stack includes deep learning frameworks such as TensorFlow and PyTorch, natural language processing tools like Hugging Face, and cloud platforms for scalable deployment. Additionally, it involves data preparation tools, APIs, and pre-trained...

AI models power everything from self-driving cars to recommendation engines, but how do they work? In this blog, we explore the different types of AI models, including supervised learning, unsupervised learning, and reinforcement learning. Learn how AI models process data, recognize patterns, and make intelligent decisions. Discover the most popular AI architectures, including convolutional...

Understand What is a Generative Adversarial Network, and its role in AI content generation. Generative Adversarial Networks (GANs) are a revolutionary deep learning technology consisting of two neural networks—the generator and the discriminator—working in tandem. The generator creates data resembling the real world, while the discriminator evaluates its authenticity. This...

Understand What is a Generative Adversarial Network and its role in creating realistic content. Discover the fascinating world of Generative Adversarial Networks (GANs), a breakthrough in artificial intelligence that creates stunningly realistic content. GANs consist of two neural networks—the generator and the discriminator—that compete to produce highly accurate results. From...