Terrence Alsup | Source | Senior Data Scientist at Finastra
Terrence Alsup
Senior Data Scientist at Finastra
Link:
Bio
Edit
Terrence Alsup is a senior data scientist at Finastra, one of the world’s largest providers of financial services technology. In his role, Terrence is responsible for cutting edge machine learning research across Finastra’s financial product line. Prior to working at Finastra, Terrence has worked at Sandia National Laboratories and is a Ph.D. student at New York University.
Employment
Sign up to view all
-
Finastra
Senior Data Scientist
-
AI Model Hallucinations: Understanding and Mitigating Risks
Terrence defines hallucinations as inaccurate outputs from AI models due to insufficient or non-specific training data. He emphasizes that reducing hallucinations requires diverse training data and teams, especially in critical sectors like healthcare and finance. Terrence also highlights the role of prompt engineering in minimizing these risks. -
Synthetic Data: A Double-Edged Sword in AI Training
Terrence explains, "Synthetic data fills gaps where real-world data is scarce, aiding in training AI models. It’s beneficial for low-risk applications like self-driving cars but less so for critical areas like healthcare. While it mitigates privacy issues and biases, synthetic data is often lower quality. The risk of model collapse remains, especially if generative models self-publish online content."