Things we learned out about LLMs in 2024

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  1. antislop-sampler

    RE: Slop:

    Having Slop generations from an LLM is a choice. There are so many tricks to make models genuinely creative just at the sampler level alone.

    https://github.com/sam-paech/antislop-sampler

    https://openreview.net/forum?id=FBkpCyujtS

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  3. OSX-KVM

    Run macOS on QEMU/KVM. With OpenCore + Monterey + Ventura + Sonoma support now! Only commercial (paid) support is available now to avoid spammy issues. No Mac system is required.

    You need macOS, which you can run in a VM (e.g. https://github.com/kholia/OSX-KVM ) or by setting up a hackintosh.

  4. files-to-prompt

    Concatenate a directory full of files into a single prompt for use with LLMs

    I use my https://github.com/simonw/files-to-prompt tool like this:

      files-to-prompt . -e py -e md -c | pbcopy

  5. swarm

    Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

    It's like object oriented programming for prompts.

    1. https://github.com/openai/swarm/tree/main

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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Did you know that Python is
the 2nd most popular programming language
based on number of references?