Using ChatGPT to Improve a Computer Vision Model | Data Dojo 2023
With the proliferation of use cases for ChatGPT, we set out to investigate whether ChatGPT could be used to make improvements in other AI systems. We tested it on a practical problem in a modality of AI in which it has not been trained on - computer vision - and reported the results. ChatGPT's suggestions achieved on average a 10.1% improvement in precision and a 34.4% improvement in recall over our random sample, using a purely data-centric metric-driven approach.
Eric Landau, Encord's Co-founder and CEO, sits down with the Data-Centric AI Community to share more about the process & lessons learned!
Eric Landau is the co-founder and CEO of Encord, an active learning platform for computer vision. Before Encord, he spent nearly a decade in high-frequency trading at DRW where he was the lead quantitative researcher on a global equity delta-one desk and put thousands of models into production. He holds a M.S. in Applied Physics from Harvard University, M.S. in Electrical Engineering, and B.S. in Physics from Stanford University.