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Improve LLM Performance by Maximizing Iteration Speed

Build, Improve Performance, and Productionize your AI Application. LLM Application development is extremely iterative, more so than any other types of development.

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  1. Along with my team, I've developed a reinforcement learning system that automatically optimizes LLM prompts, complete with a visualization feature to track both prompt structure and learning progress over time.

    Hacker News14점

  2. Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.

    Hacker News131점

  3. Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.

    Hacker News7점

  4. A visual playground for agentic workflows: Iterate over your agents 10x faster

    Hacker News8점

  5. LLM Optimize

    github.com

    blackbox string optimization and AutoML with GPT-4

    Hacker News5점