Kyunghyun Cho

Dr. Kyunghyun Cho, NYU professor known for neural machine translation and AI in protein engineering and clinical prediction. He traces his path from language models to biology and healthcare. He explains building clinical language models, reframing AI toward operational prediction, and tools like MyChart Explorer. He stresses purpose-built data, fine-tuning, and including patients in AI governance.

Kyunghyun Cho, NYU professor and co-author of the original attention paper, explains the origins of attention and its rapid validation. He discusses sample efficiency and why actively choosing data matters. He debates world models versus latent planning and describes teaching undergrads with coding agents.

Lin Xiao, CEO of Fireworks AI, on autonomous intelligence and continual model customization for enterprises. Chris Fregly, AI performance engineer and author, on AI coding assistants, performance workflows, and evaluation-driven development. Kyunghyun Cho, NYU professor, on world models, latent dynamics, and embodied agents. Zack Kass, author and education commentator, on personalized learning and educational reform.