Codex, OpenAI’s Automated Code Generation API with Greg Brockman - #509
Published:Aug 12, 2021 16:35
•1 min read
•Practical AI
Analysis
This article from Practical AI discusses OpenAI's Codex, a code generation API derived from GPT-3. The interview with Greg Brockman, co-founder and CTO of OpenAI, explores Codex's capabilities, including its autocomplete functionality based on internet text and code. The discussion covers Codex's performance compared to GPT-3, potential evolution with different training data, and best practices for API interaction. Furthermore, it touches upon Copilot, the Github collaboration built on Codex, and broader societal implications like coding education, explainability, fairness, bias, copyright, and job displacement. The article provides a comprehensive overview of Codex and its potential impact.
Key Takeaways
Reference
“Codex is a direct descendant of GPT-3 that allows users to do autocomplete tasks based on all of the publicly available text and code on the internet.”