The Future of Coding
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If you have a question about this talk, please contact Alexander R Epstein.
Code that writes itself has been a goal of artificial intelligence since its earliest days, and we are now closer than ever to fully automating programming. This seminar explores two key approaches driving this progress: genetic programming, which evolves programs through natural selection, and large language models (LLMs), which generate code using patterns learned from vast datasets. Combining these methods could overcome current limitations and pave the way for a future where machines play a central role in shaping software development.
This talk is part of the Darwin College Science Seminars series.
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