Evaluate AI-generated results for accuracy
Browse and submit language model benchmarks
Convert Stable Diffusion checkpoint to Diffusers and open a PR
View and submit LLM benchmark evaluations
Convert Hugging Face models to OpenVINO format
Evaluate code generation with diverse feedback types
GIFT-Eval: A Benchmark for General Time Series Forecasting
View and submit machine learning model evaluations
Convert PaddleOCR models to ONNX format
Track, rank and evaluate open LLMs and chatbots
Display and filter leaderboard models
Evaluate and submit AI model results for Frugal AI Challenge
View and submit language model evaluations
The LLM HALLUCINATIONS TOOL is a specialized platform designed to evaluate and benchmark the accuracy of outputs generated by large language models (LLMs). Its primary function is to identify and analyze hallucinations—instances where an LLM generates false or nonsensical information. This tool enables users to assess the reliability and correctness of AI-generated content, making it essential for researchers, developers, and practitioners working with LLMs.
What is a hallucination in the context of LLMs?
A hallucination occurs when an LLM generates content that is factually incorrect, nonsensical, or unrelated to the input prompt.
Is the LLM HALLUCINATIONS TOOL free to use?
The tool offers a free version with basic features. Advanced features may require a subscription or one-time purchase.
Can this tool support other LLMs besides popular models like GPT or ChatGPT?
Yes, the tool is designed to work with a variety of LLMs. Users can configure it to test any model they are evaluating.