The Evolution of Generative AI
1950s-1980s: The Foundation
Early AI researchers dreamed of machines that could think and create. The first neural networks were developed, inspired by how the human brain works.
1990s-2000s: Learning to Learn
Scientists developed machine learning algorithms that could improve their performance by studying data. However, computers weren't powerful enough for complex tasks.
2010s: The Deep Learning Revolution
More powerful computers and massive amounts of internet data allowed for "deep learning" - AI systems with many layers that could understand complex patterns.
2017: The Transformer Breakthrough
Google researchers invented the "Transformer" architecture, which became the foundation for modern AI like ChatGPT. This allowed AI to understand context and relationships in text much better.
2020-Present: The Generative AI Boom
ChatGPT, DALL-E, and other generative AI tools became available to everyone, marking the beginning of the AI revolution we're experiencing today.