Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
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Updated
Jun 6, 2023 - Python
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
The prompt engineering, prompt management, and prompt evaluation tool for Kotlin.
The prompt engineering, prompt management, and prompt evaluation tool for Ruby.
An open source library for asynchronous querying of LLM endpoints
The prompt engineering, prompt management, and prompt evaluation tool for TypeScript, JavaScript, and NodeJS.
Evaluating LLMs with Multiple Problems at once: A New Paradigm for Probing LLM Capabilities
The prompt engineering, prompt management, and prompt evaluation tool for Python
The prompt engineering, prompt management, and prompt evaluation tool for C# and .NET
The prompt engineering, prompt management, and prompt evaluation tool for Go.
Generative agents — computational software agents that simulate believable human behavior and OpenAI LLM models. Our main focus was to develop a game - “Werewolves of Miller’s Hollow”, aiming to replicate human-like behavior.
Code for "Prediction-Powered Ranking of Large Language Models", Arxiv 2024.
TypeScript SDK for experimenting, testing, evaluating & monitoring LLM-powered applications - Parea AI (YC S23)
Бенчмарк сравнивает русские аналоги ChatGPT: Saiga, YandexGPT, Gigachat
Generate ideal question-answers for testing RAG
Python SDK for experimenting, testing, evaluating & monitoring LLM-powered applications - Parea AI (YC S23)
A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
🎯 Your free LLM evaluation toolkit helps you assess the accuracy of facts, how well it understands context, its tone, and more. This helps you see how good your LLM applications are.
Python SDK for running evaluations on LLM generated responses
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
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