Peter & Boris — Fine-tuning OpenAI's GPT-3

Peter Welinder is VP of Product & Partnerships at OpenAI, where he runs product and commercialization efforts of GPT-3, Codex, GitHub Copilot, and more. Boris Dayma is Machine Learning Engineer at Weights & Biases, and works on integrations and large model training. Peter, Boris, and Lukas dive into the world of GPT-3: - How people are applying GPT-3 to translation, copywriting, and other commercial tasks - The performance benefits of fine-tuning GPT-3 - Developing an API on top of GPT-3 that works out of the box, but is also flexible and customizable They also discuss the new OpenAI and Weights & Biases collaboration, which enables a user to log their GPT-3 fine-tuning projects to W&B with a single line of code. The complete show notes (transcript and links) can be found here: http://wandb.me/gd-peter-and-boris --- Connect with Peter & Boris: 📍 Peter's Twitter: https://twitter.com/npew 📍 Boris' Twitter: https://twitter.com/borisdayma --- ⏳ Timestamps: 0:00 Intro 1:01 Solving real-world problems with GPT-3 6:57 Applying GPT-3 to translation tasks 14:58 Copywriting and other commercial GPT-3 applications 20:22 The OpenAI API and fine-tuning GPT-3 28:22 Logging GPT-3 fine-tuning projects to W&B 38:25 Engineering challenges behind OpenAI's API 43:15 Outro --- Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts​​ 👉 Google Podcasts: http://wandb.me/google-podcasts​ 👉 Spotify: http://wandb.me/spotify​