Where We Are in 2026

• Large language models dominate NLP applications

• Deep neural networks power most AI systems

• GPU-accelerated training is standard practice

• Linear complexity solutions improving transformer efficiency

• AI integration across industries accelerating

Building on foundations from the [Large Language Model article](https://en.wikipedia.org/wiki/Large_language_model), we're seeing unprecedented capabilities in language understanding and generation.