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Deep PapersAuthor: Arize AI
Deep Papers is a podcast series featuring deep dives on todays most important AI papers and research. Hosted by Arize AI founders and engineers, each episode profiles the people and techniques behind cutting-edge breakthroughs in machine learning. Language: en-us Genres: Mathematics, Science, Technology Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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LibreEval: The Largest Open Source Benchmark for RAG Hallucination Detection
Friday, 18 April, 2025
For this week's paper read, we actually dive into our own research.We wanted to create a replicable, evolving dataset that can keep pace with model training so that you always know you're testing with data your model has never seen before. We also saw the prohibitively high cost of running LLM evals at scale, and have used our data to fine-tune a series of SLMs that perform just as well as their base LLM counterparts, but at 1/10 the cost. So, over the past few weeks, the Arize team generated the largest public dataset of hallucinations, as well as a series of fine-tuned evaluation models.We talk about what we built, the process we took, and the bottom line results.📃 Read the paper: https://arize.com/llm-hallucination-dataset/Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.
