Evaluate AI-generated results for accuracy
Calculate GPU requirements for running LLMs
Convert Hugging Face models to OpenVINO format
Display LLM benchmark leaderboard and info
Persian Text Embedding Benchmark
Generate leaderboard comparing DNA models
Predict customer churn based on input details
Display genomic embedding leaderboard
Track, rank and evaluate open LLMs and chatbots
Explore and visualize diverse models
Compare and rank LLMs using benchmark scores
Display benchmark results
Retrain models for new data at edge devices
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.