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 matchingEarly 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