Show HN: Simboba – Evals in under 5 mins (github.com)

A new tool called Simboba has been introduced to streamline the management of datasets and evaluations for AI products, allowing users to run evaluations in under five minutes. This lightweight solution supports features like using large language models (LLMs) as judges, multi-turn conversations, and tool integration. Users can set up evaluations with a simple Python script, track results in git-friendly JSON files, and visualize outcomes through a web interface, enhancing the testing and development process in AI applications. The significance of Simboba lies in its ability to simplify and accelerate the evaluation of AI models by automating repetitive tasks such as dataset creation, running evaluations, and maintaining baseline results for regression detection. The tool provides a user-friendly command-line interface (CLI) and integrates with Docker for seamless execution. By enabling the quick setup of evals and leveraging LLMs to assess responses, Simboba empowers developers to enhance their AI systems more efficiently, fostering innovation and improvement within the AI/ML community.