The prompt engineering, prompt management, and prompt evaluation tool for Kotlin.
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Updated
Jun 16, 2024
The prompt engineering, prompt management, and prompt evaluation tool for Kotlin.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Evaluating LLMs with Multiple Problems at once: A New Paradigm for Probing LLM Capabilities
The prompt engineering, prompt management, and prompt evaluation tool for Ruby.
The prompt engineering, prompt management, and prompt evaluation tool for C# and .NET
The prompt engineering, prompt management, and prompt evaluation tool for Go.
The prompt engineering, prompt management, and prompt evaluation tool for TypeScript, JavaScript, and NodeJS.
LLM Security Platform Docs
The prompt engineering, prompt management, and prompt evaluation tool for Python
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.
Shin Rakuda is a comprehensive framework for evaluating and benchmarking Japanese large language models, offering researchers and developers a flexible toolkit for assessing LLM performance across diverse datasets.
TypeScript SDK for experimenting, testing, evaluating & monitoring LLM-powered applications - Parea AI (YC S23)
Code for "Prediction-Powered Ranking of Large Language Models", Arxiv 2024.
Realign is an evaluation and experimentation framework for AI applications.
An open source library for asynchronous querying of LLM endpoints
🎯 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.
Бенчмарк сравнивает русские аналоги ChatGPT: Saiga, YandexGPT, Gigachat
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.
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