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in the latent space
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in the latent space

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veekaybee/README.md

Hi, I'm Vicki! 👋

I build scalable distributed machine learning systems in personalization, recommendations, and search. I like reverse-engineering neural nets, MLOps and production, and machine learning systems. I've worked with inference and eval of large language models. Here's a reading list I made.

Projects (Reverse Chron):

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  1. what_are_embeddings what_are_embeddings Public

    A deep dive into embeddings starting from fundamentals

    Jupyter Notebook 1.1k 86

  2. viberary viberary Public

    Good books, good vibes

    Jupyter Notebook 431 19

  3. Normcore LLM Reads Normcore LLM Reads
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    # Anti-hype LLM reading list
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    Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
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    ## Foundational Concepts 
  4. gitfeed gitfeed Public

    Feed of posts from Bluesky that have a GitHub link

    Go 43 4

  5. igorbrigadir/awesome-twitter-algo igorbrigadir/awesome-twitter-algo Public

    The release of the Twitter algorithm, annotated for recsys

    493 30