
Hallucina-Gen
Spot where your LLM might make mistakes on documents
Hallucina-Gen launched on June 4, 2025 with 7 votes, #4,162 of 8,889 launches that month.
What it does
Using LLMs to summarize or answer questions from documents? We auto-analyze your PDFs and prompts, and produce test inputs likely to trigger hallucinations. Built for AI developers to validate outputs, test prompts, and squash hallucinations early.
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Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…


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