🧙🏻♂️ Edge#130: The ML Engineering Magic Behind OpenAI Codex
10 Remarkable ML Engineering Facts About Codex
What’s New in AI, a deep dive into one of the freshest research papers or technology frameworks that is worth your attention. Our goal is to keep you up to date with new developments in AI to complement the concepts we debate in other editions of our newsletter.
💥 What’s New in AI: The ML Engineering Magic Behind OpenAI Codex
OpenAI Codex is one of the most impressive deep learning models ever created. Released a few months ago, Codex can generate code based on natural language sentences. The model is proficient in more than a dozen programming languages and can produce code for fairly complex instructions. If the research behind Codex is impressive, even more impressive is the machine learning (ML) engineering work put in place to develop such a model. Think about the challenges of training and testing a model that generates code. Today, we would like to discuss some of the ML engineering facts about Codex that are not that well-known but play a pivotal role in bringing this impressive body of AI research into a production-ready model.
From GPT-3 to Codex
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