Peter Jung
Peter Jung, an ML/LLM Engineer at Gnosis and PhD student, specializes in blending machine learning with Web3. As the maintainer of the Prediction Market Agent Tooling library, his work focuses mainly on accurate and profitable event prediction on the chain, but also various other use-cases with potential to help blockchain users. Peter's expertise is also showcased on his web page, www.jung.ninja.
Session
AI in the Web3 space is experiencing a boom, primarily due to the rise of LLMs. However, a critical application of machine learning, which has long been utilized in centralized payment solutions, is fraud prevention. Each time we send money or pay using a credit card, state-of-the-art algorithms decide if the transaction should go through. But not on the chain. Let's change that.