Episode description

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

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Connect with Peter & Boris:

📍 Peter's Twitter: https://twitter.com/npew

📍 Boris' Twitter: https://twitter.com/borisdayma

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⏳ 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

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