LLM frameworks

  • ChainForge - chainforge.ai

    • "ChainForge is an open-source visual programming environment for prompt engineering, LLM evaluation and experimentation."
    • HT: Ian Arawjo (website, Twitter
    • citation: @arawjo2023chainforge
  • Comet - comet.com/

    • "Comet provides a meta machine learning platform that enables data scientists & teams to track, compare, explain, & optimize their experiment tracking."

    • HT: @omarsar0

      I have been really impressed with the new prompting tools by @Cometml. I already use their tools for tracking and managing my fine-tuned LLMs, so it's cool to see that they also enable LLMOps and prompting tools to easily track and debug prompts at scale.

  • Cursive - github.com/meistrari/cursive-py

  • GodMode - github.com/smol-ai/GodMode

  • LangChain - github.com/langchain-ai/langchain

  • ragas - explodinggradients/ragas

    • "Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines"
    • HT: Aaron Tay (website | Twitter)

Daniel Griffin

LLM frameworks