There is fragmentation in the field of AI that no one seems to be taking too seriously. Daniel Lenton, the CEO of Ivy, observed this, finding so many frameworks, models, infrastructures, and hardware that make it hard for collaboration. Helping solve this problem, Ivy was created to unify all Machine Learning (ML) frameworks. In this episode, he tells us how they made it possible to fit these pieces together. Daniel also takes us through his journey prior to Ivy, the walls they hit in the labs, and the lessons they learned overcoming them. Talking about Ivy’s growth, he then shares their success in GitHub and Discord and where they see they’re heading in the future. For more insights about AI, ML frameworks, and open-source technology, join Daniel in this conversation. Find out how Ivy uniquely allows you to bring any model, library, or function into one line of code for your project.