Evaluate AI-generated results for accuracy
Explore GenAI model efficiency on ML.ENERGY leaderboard
Compare and rank LLMs using benchmark scores
Measure over-refusal in LLMs using OR-Bench
Download a TriplaneGaussian model checkpoint
Browse and submit language model benchmarks
Submit deepfake detection models for evaluation
Optimize and train foundation models using IBM's FMS
Explain GPU usage for model training
Convert Hugging Face model repo to Safetensors
Evaluate model predictions with TruLens
Evaluate code generation with diverse feedback types
Display LLM benchmark leaderboard and info
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.