Powering the Next Generation of Apps with GPT-3, Codex with the OpenAI API


Developers and data scientists used to have a tough choice between easy-to-use but inflexible AI developer services and powerful ML platforms with steep learning curves. Today, there’s an increasing shift to large models like OpenAI’s GPT-3 and Codex. These models are trained once and then applied flexibly to a wide variety of downstream applications. OpenAI’s API lets all builders, from non-developers to ML experts, go from building a compelling prototype in 5 minutes to scaling customized models to production-level loads. It’s used by thousands of companies to transform existing products and to build entirely new application experiences.


Peter Welinder is VP of Product and Partnerships at OpenAI. He leads commercialization of OpenAI’s research, including OpenAI's GPT-3 and Codex API and the Github Copilot partnership. Previously, he founded and led applied machine learning engineering and product at Dropbox. He was co-founder and CEO of Anchovi Labs (acquired by Dropbox). Peter has a PhD in Computation and Neural Systems from Caltech and a degree in Physics from Imperial College London.

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