Timeline of Generative AI Marvels

From Alan Turing’s early work to today’s transformers, generative AI has advanced Explore the timeline of generative AI

Learning about generative AI helps explain its breakthroughs Generational AI models create high-quality images, text, audio, synthetic data, and more

Most foundational models predict the next word using large language models (LLMs) trained on natural language

Generative AI can create content instead of classifying or analyzing data, a major AI advancement

Claude Shannon publishes his “Information Theory,” laying the foundation for data compression and communication, crucial for AI development

ELIZA, an early chatbot, simulates conversation using pattern matching Early generative AI systems included British scientist Joseph Weizenbaum’s 1961 ELIZA chatbot

Generative adversarial networks (GANs) are conceived as a training approach for neural networks

StyleGAN introduces improvements for generating high-fidelity and diverse images