LLMs in Fraud Detection: Model Comparison

LLMs in Fraud Detection: Model Comparison

Some LLMs perform clustering, prediction, and classification, including on unstructured text data such as messages. Fraud detection is just a particular case.

This session will discuss a range of tools and techniques that accomplish the same goal, with benchmarking. Register here.

Join us for our upcoming webinar where we explore the cutting-edge applications of Large Language Models in combating financial fraud. As fraud schemes grow more sophisticated, the need for advanced detection methods becomes crucial. This webinar will delve into how different LLMs are being leveraged to enhance fraud detection systems, offering a comparative analysis of their effectiveness.

You will learn:

?? An overview of various LLMs and their specific applications in fraud detection.

?? Comparative insights into the effectiveness of different models in identifying and preventing fraud.

?? The role of AI in transforming fraud detection strategies to be more adaptive and proactive.

?? Real-world examples of AI-driven fraud detection successes and the lessons learned.

?? Future trends in AI and machine learning for fraud prevention.

This hands-on workshop is for developers and AI professionals, featuring state-of-the-art technology, case studies, code-share, and live demos. Recording and GitHub material will be available to registrants who cannot attend the free 60-min session. Register here.


Ethan Chiu

Computer Science @University of Southern California

2 个月

Sounds interesting! I will definitely look into your webinar

Muhammad Yasir Saleem

Machine Learning Engineer | Deep Learning & Computer Vision Specialist | Expert in AI Model Development & Predictive Analytics | Data Scientist | AI Enthusiast

2 个月

I'm glad to hear that you found the information helpful. If you need any further assistance or information, feel free to ask!

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Shailesh Deshpande

Senior Vice President, Strategy & Data Management at Bank of America

2 个月

Vincent, this sounds interesting!! Are you experimenting with hugging face GMs and fine tuning them to suit the needs of specific use case?

Sara V.

Research-Focused Innovator | Building Lives with Precision | Data Queen

2 个月

This webinar looks like a great opportunity to dive into the latest applications of LLMs in fraud detection. It’s fascinating to see how these models are not only improving accuracy but also helping adapt to new fraud tactics. I’m especially looking forward to the comparative analysis of different models—it’s always insightful to see real-world case studies in action. Definitely worth attending!

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