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Red Teaming LLMs // Ron Heichman // #252

MLOps.community

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Overcoming Challenges in AI Fraud Detection

This chapter explores the complexities of adopting fraud detection as a service in the banking sector, addressing compliance issues and the reluctance to share sensitive data. It contrasts the challenges of developing machine learning models for fraud detection with the more straightforward applications of large language models (LLMs) in customer support. The discussion also emphasizes the importance of context in input construction for LLMs to ensure effective model performance.

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