Session
Code that (almost) writes itself? GitHub Co-Pilot and OpenAI Codex in action
Large scale neural language models trained on publicly available source-code in GitHub and other repositories are able to predict what a software developer may want to write based on a rough description or by using the context of the code they are currently writing.
In this session we will look at how that works and at some examples what you can do with it with languages such as C#, JavaScript or Python.
Andreas Erben
CTO for Applied AI and Metaverse at daenet
Ponte Vedra Beach, Florida, United States
Links
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