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teddykoker

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  1. Nicholas Carlini – Are LLMs worth it? [video] (youtube.com)
    2 points 0
  2. All Atom Virtual Cell (diffuse.one)
    2 points 0
  3. Why woodpeckers don't get concussions (2024) (fermatslibrary.com)
    1 points 2
  4. My (Not-So-Successful) Quest to Conquer the NYT Connections Game with Word2Vec (marshalljiang.com)
    2 points 0
  5. Learning to Learn with Jax (teddykoker.com)
    2 points 0
  6. Never Go Full Kelly (2021) (lesswrong.com)
    7 points 0
  7. ClosedAI – a drop-in replacement for OpenAI with open models (github.com)
    10 points 0
  8. Making Python faster with Rust (ohadravid.github.io)
    387 points 222
  9. Optimism Shapes Reality (alexw.substack.com)
    1 points 0
  10. Learning JAX by Learning to Learn (teddykoker.com)
    2 points 0
  11. The Reversal Test (en.wikipedia.org)
    4 points 0
  12. Bad ML Abstractions (Generative vs. Discriminative Models) (jacobbuckman.com)
    1 points 1
  13. Equinox: Neural networks in Jax via callable PyTrees and filtered transformation (arxiv.org)
    3 points 0
  14. Lightning Flash: A collection of tasks for solving problems with deep learning (github.com)
    14 points 1
  15. DataLoaders Explained: Building a Multi-Process Data Loader from Scratch (teddykoker.com)
    2 points 0
  16. Performers: The Kernel Trick, Random Fourier Features, and Attention (teddykoker.com)
    2 points 0
  17. Deep Learning for Guitar Effect Emulation (teddykoker.com)
    314 points 167