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From symbols to AI pair programmers 💻 (Practical AI #140)
How did we get from symbolic AI to deep learning models that help you write code (i.e., GitHub and OpenAI’s new Copilot)? That’s what Chris and Daniel discuss in this episode about the history and future of deep learning (with some help from an article recently published in ACM and written by the luminaries of deep learning).
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Featuring
Notes and Links
- ACM article: “Deep Learning for AI”
- GitHub Copilot
- Book: Human in the loop machine learning (use podpracticalAI19 for 40% off)
Something missing or broken? PRs welcome!