Transformer Models and Large Language Models

Neural networks form the foundation of modern artificial intelligence, enabling breakthroughs in natural language processing, computer vision, and generative AI. Transformer architectures and large language models have revolutionized how machines understand and generate human language.

The evolution from simple perceptrons to complex multi-layered networks has enabled AI systems to tackle increasingly sophisticated tasks. Future developments in neural architecture search and neuromorphic computing promise even more efficient and powerful AI systems.