The Evolution of AI and Generative AI

AI is a collection of tools and technologies that provide human cognitive capabilities to computers. Generative AI is a subset of AI that aims to incubate generative AI solutions into production-grade applications for companies. This involves identifying patterns within the AI ecosystem, packaging these patterns into applications or open-source capabilities. Machine learning is a subset of AI that utilizes mathematical and statistical techniques, while deep learning is a subset of machine learning that uses neural networks. Deep learning has become popular in machine learning due to its ability to process large amounts of data and maintain performance. The transformer architecture, introduced in 2017, played a significant role in processing large amounts of data and maintaining structure. Emergent properties of AI include multi-tasking, in-context learning, and reasoning.