Large Language Models (LLMs) often produce inaccurate information, known as hallucinations, which pose risks in industries like healthcare and finance. Tools like Pythia, Galileo, Cleanlab, Guardrail AI, and FacTool help detect and mitigate these hallucinations, ensuring the reliability of AI outputs. These tools leverage advanced techniques such as knowledge graphs, real-time monitoring, and customizable filters to enhance AI model accuracy and compliance. Additionally, benchmarks like TruthfulQA and FACTOR assess the factual correctness of AI systems across various domains, highlighting the importance of reliable AI applications.
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