Low code, no code, accelerated code, & failing code (Practical AI #123)

In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game!

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Featuring:

• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

• Follow up content from Rajiv Shah:
  • Running code and failing models
  • Rajiv’s previous episode
• Lambda Lab’s GPU benchmarks
• Machine Learning in Microsoft Excel
• Deep Learning at the Speed of Light
• MLCommons and MLCube:
  • Previous episode about MLCommons
  • MLCube project
• Learning Resources:
  • Yann LeCun’s Deep Learning Course Is Now Free & Fully Online
  • TensorFlow Everywhere

Something missing or broken? PRs welcome!