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Fighting AI Hallucination: How to Make LLMs Accurate
In this episode, we break down THaMES, a new tool designed to make AI models like ChatGPT and Llama more reliable. Ever wondered why AI sometimes gives answers that sound confident but are completely wrong? That’s called hallucination, and THaMES helps fix it! We'll explain how this tool tests AI, compares different ways to reduce mistakes, and improves accuracy. We’ll also talk about how it helps popular AI models like GPT-4 and Llama become smarter and more trustworthy. If you're curious about how AI can be made better, this episode is for you!
Original paper
Liang, M., Arun, A., Wu, Z., Munoz, C., Lutch, J., Kazim, E., Koshiyama, A., & Treleaven, P. (2024). THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models. https://arxiv.org/abs/2409.11353
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By Fly for PointsIn this episode, we break down THaMES, a new tool designed to make AI models like ChatGPT and Llama more reliable. Ever wondered why AI sometimes gives answers that sound confident but are completely wrong? That’s called hallucination, and THaMES helps fix it! We'll explain how this tool tests AI, compares different ways to reduce mistakes, and improves accuracy. We’ll also talk about how it helps popular AI models like GPT-4 and Llama become smarter and more trustworthy. If you're curious about how AI can be made better, this episode is for you!
Original paper
Liang, M., Arun, A., Wu, Z., Munoz, C., Lutch, J., Kazim, E., Koshiyama, A., & Treleaven, P. (2024). THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models. https://arxiv.org/abs/2409.11353