Dexa/Gradient Dissent - A Machine Learning Podcast

ML Tools Evolution

Jordan and Lukas discuss the evolution of ML tools, emphasizing the importance of tools like AutoML for business impact and efficiency. They predict a shift towards higher levels of abstraction in ML, akin to the evolution of engineering tools.

In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Jordan Fisher — Skipping the Line with Autonomous Checkout
Related Questions
- How should startups approach building an AI stack? Please provide an overall framing, an opinionated take, and insights on what has worked well or not in terms of team, strategy, and technology stack for AI buildout, based on the episode First Time Founders with Ed Elson – The AI Company That Codes For You and the clip Full Stack AI.