Evaluate AI-generated results for accuracy
Calculate memory needed to train AI models
View NSQL Scores for Models
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
View and compare language model evaluations
View and submit LLM evaluations
Calculate survival probability based on passenger details
Display and submit LLM benchmarks
Find recent high-liked Hugging Face models
Evaluate open LLMs in the languages of LATAM and Spain.
Track, rank and evaluate open LLMs and chatbots
Browse and evaluate language models
Evaluate and submit AI model results for Frugal AI Challenge
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.