Abstract: 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.
Bio: Dom Divakaruni is Group Product Manager with Microsoft’s Azure AI Platform, where he is responsible for services that help customers build the next generation of apps, like GitHub Copilot – powered by OpenAI’s GPT-3 and Codex models. Previously, he led Product for AWS AI services like Inferencia and Elastic Inference and initiatives like Apache MXNet. Dom has a degree in Electrical Engineering from the University of Maryland.