67 results for “topic:llm-eval”
Test your prompts, agents, and RAGs. AI Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.
AI Observability & Evaluation
🐢 Open-Source Evaluation & Testing library for LLM Agents
Evaluation and Tracking for LLM Experiments and AI Agents
Analytics, Versioning and ETL for multimodal data: video, audio, PDFs, images
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.
A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.
Python SDK for running evaluations on LLM generated responses
Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42001, NIST AI RMF and 20+ more AI frameworks and regulations. Join our Discord channel: https://discord.com/invite/d3k3E4uEpR
A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
Python SDK for experimenting, testing, evaluating & monitoring LLM-powered applications - Parea AI (YC S23)
An open-source benchmark for evaluating AI agents' ability to find backdoors hidden in compiled binaries.
Бенчмарк сравнивает русские аналоги ChatGPT: Saiga, YandexGPT, Gigachat
llm-eval-simple is a simple LLM evaluation framework with intermediate actions and prompt pattern selection
First-of-its-kind AI benchmark for evaluating the protection capabilities of large language model (LLM) guard systems (guardrails and safeguards)
🎯 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.
Develop reliable AI apps
Valor is a lightweight, numpy-based library designed for fast and seamless evaluation of machine learning models.
An open source library for asynchronous querying of LLM endpoints
Structured output benchmarks comparing DSPy and BAML with different LLMs
LLM Security Platform.
This is an opensource project allowing you to compare two LLM's head to head with a given prompt, this section will be regarding the backend of this project, allowing for llm api's to be incorporated and used in the front-end
The warehouse-native LLM evaluation package for dbt™ - monitor AI quality without data egress
No description provided.
Realign is a testing and simulation framework for AI applications.
Run a prompt against all, or some, of your models running on Ollama. Creates web pages with the output, performance statistics and model info. All in a single Bash shell script.
Code for "Prediction-Powered Ranking of Large Language Models", NeurIPS 2024.
[ACL 2025] GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning
Create an evaluation framework for your LLM based app. Incorporate it into your test suite. Lay the monitoring foundation.
The prompt engineering, prompt management, and prompt evaluation tool for Python