Generative Adversarial Networks, or GANs, are a type of deep learning model made up of two neural networks that are essentially in a creative face-off. One creates data, the other critiques it.

Generative AI can also suggest coding or architectural best practices. This can help improve the efficiency and performance of the modernized application, ensuring it meets current industry standards.

The rapid adoption of Large Language Models (LLMs) has reshaped the digital ecosystem, powering everything from customer ...

AiXplain founder and CEO Hassan Sawaf said generative AI is evolving to become a world of “agents” that can drive innovation and operational efficiencies in hundreds of very specific niches.

Once in place, Motific discovers any generative AI resources in the enterprise and lets customers set up patterns and policies for specific applications. “For example, if a customer wanted to ...

Table  of Content  What are the Two Faces of  AI?How Do They Work: The Engines Behind Magic?What are the Advantages of ...

Less than one quarter of application developers (24%) consider themselves experts in generative AI when asked to rate their proficiency and professional experience in the field.