Phillip Carter

    • About Phillip
  • January 15, 2024

    Three properties of data for making LLMs awesome

    Back in May 2023, I helped launch my first bona fide feature that uses LLMs in production. It was difficult in lots of different ways, but one thing I didn’t elaborate in several blog posts was how lucky I was to have a coherent way to get the data I needed to make the feature…

    Uncategorized
    ai, llm
  • January 14, 2024

    When the readability of Go falls off a cliff

    Phillip
    go, golang
  • January 14, 2024

    The best docs are the ones you don’t need

    If a developer product is self-consistent and intuitive, it can get by with surprisingly little documentation. Some (perhaps obvious) examples come to mind: But it can get much deeper than this: Source compatability – specifically, not changing requirements around inputs or handling of outputs – is a feature that pays dividends in the long run.…

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