From symbols to AI pair programmers 💻

From symbols to AI pair programmers 💻

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Episode
141 of 339
Duration
48min
Language
English
Format
Category
Non-fiction

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:

• Chris Benson – Website • , GitHub • , LinkedIn • , X • Daniel Whitenack – Website • , GitHub • , X Show Notes:

ACM article: “Deep Learning for AI”GitHub Copilot Books

“Human-in-the-Loop Machine Learning” by Robert (Munro) Monarch • (use podpracticalAI19 • for 40% off) “A Thousand Brains” by Jeff Hawkins Something missing or broken? PRs welcome!


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