Isabelle Norwyn is an AI technology writer with 9 years (since 2016) of experience focusing on generative AI, machine learning systems, and applied AI development. She helps readers understand the technical foundations behind modern AI tools and models.
Her work focuses on AI architecture and machine learning concepts, including transformer models, AI hallucinations, computer vision, generative AI software development, and low-code AI platforms. Isabelle explains how modern AI models are trained, deployed, and integrated into applications.
She frequently writes about AI safety, model limitations, and practical AI adoption, helping readers separate realistic capabilities from marketing claims. Her approach emphasizes technical clarity, responsible AI use, and practical understanding.
Specialization: Generative AI · Transformer models · Computer vision · AI safety · Machine learning systems
Education: MS Artificial Intelligence, Northeastern University, 2015 · TensorFlow Developer Certification, 2021