The Machine Learning Podcast

Solve The Cold Start Problem For Machine Learning By Letting Humans Teach The Computer With Aitomatic

September 28th, 2022  •  52 mins 7 secs  •  Download (39.1 MB)  •  Link with Timestamp

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Machine learning is a data-hungry approach to problem solving. Unfortunately, there are a number of problems that would benefit from the automation provided by artificial intelligence capabilities that don’t come with troves of data to build from. Christopher Nguyen and his team at Aitomatic are working to address the "cold start" problem for ML by letting humans generate models by sharing their expertise through natural language. In this episode he explains how that works, the various ways that we can start to layer machine learning capabilities on top of each other, as well as the risks involved in doing so without incorporating lessons learned in the growth of the software industry.