Richmond Alake Podcast: Lewis Tunstall

How a particle physics researcher transitioned into Machine learning and wrote one of the best books on Natural Language Processing and the Transformer neural network architecture.

“When I started out I actually got rejected like a lot of times because I had a PhD”

— Lewis Tunstall, Richmond Alake Podcast

Lewis Tunstall is a machine learning engineer at Hugging Face. He started his career in particle physics and has since become an expert in machine learning and artificial intelligence (AI). In this episode of the Richmond Alake Podcast, he discusses his journey from particle physics to machine learning and how he authored one of the finest books on Natural Language Processing (NLP) and the Transformer neural network architecture.

Lewis provides insights into the future of NLP and AI and how they will impact various industries. He also shares his thoughts on the process of writing a technical book and the career benefits that come from it. In this interview, Lewis explains the Transformer neural network architecture and how it may be utilized to tackle NLP issues in an easy-to-understand manner.