Generational AI refers to the evolution of artificial intelligence technology over time. The term is used to describe the different stages of AI development, starting from rule-based systems that rely on predefined rules to machine learning systems that can improve their performance over time based on experience. The latest generation of AI is based on deep learning, which uses artificial neural networks to recognize patterns and make decisions. Generational AI has led to the development of a wide range of applications, from speech recognition and image recognition to autonomous vehicles and robotics. As AI technology continues to evolve, it is expected to have a profound impact on many industries and fields, including healthcare, finance, education, and transportation. However, the development of AI also raises ethical and social considerations, such as job displacement, algorithmic bias, and privacy concerns, which must be addressed to ensure that AI is used in a responsible and ethical manner.
· Evolution of AI
· Definition of various generations of AI
· Characteristics & Examples of various generations of AI
· Advantages & Disadvantages of various generations of AI
· Current Developments in Generational AIIf you are an existing user,please Login to complete your purchase. You will be redirected back here to complete your sign-up afterwards.