We’re excited to welcome you to our next AI Talk!
Join us as we dive into how today’s language models shape information online, and how smarter, targeted AI can help us fact‑check in real time. Whether you work with AI, care about trustworthy information, or are simply curious, this session will offer fresh insights and practical takeaways.
AI Talks – Episode 10
Bigger is not Always Better: Scaling Reliable Fact-Checking with Smaller AI Models.
Large language models (LLMs) generate impressive realistic content but still hallucinate and can be misused to scale misinformation. This talk outlines automated fact-checking and shows why smaller, task-specific AI models often outperform frontier LLMs in real-world, complex, multilingual, and multimodal settings when fine-tuned with targeted high quality data enabling reliable and real-time fact-checking at scale.
Come, grab a coffee, and join us in this free event. We look forward to seeing you there!
- Date: 12 March
- Time: 12:15 - 12:45
- Venue: EOJ 101, University of Stavanger
- Link for registration: https://forms.office.com/e/n3X5GJbZqK
Speaker: Vinay Setty is an Associate Professor at the University of Stavanger and founder and CTO of Factiverse. His research spans NLP, information retrieval, and deep learning for language technologies, with a primary focus on automated fact-checking. He has published at leading conferences in information retrieval, NLP and web conferences and received the 2020 SR Bank Innovation Prize for commercializing neural network technology for fake news detection. He holds a PhD from the University of Oslo and completed a postdoc at the Max Planck Institute for Informatics in Germany.