Feb. 9, 2024, 12:22 a.m. | H2O.ai

H2O.ai www.youtube.com

This session at H2O GenAI Day Atlanta 2024, hosted by Kim Montgomery and Navdeep Gill, focused on the importance of interpretability for Generative AI, particularly Large Language Models (LLMs). The speakers introduced a hands-on approach to understanding and applying interpretability and model risk management techniques in the context of Generative AI. They emphasized the complexity of interpreting unstructured data generated by LLMs, compared to traditional models with structured inputs and outputs.

To address these challenges, they discussed various methods and …

atlanta genai generative h2o importance interpretability language language models large language large language models llms management risk session speakers understanding

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Reporting & Data Analytics Lead (Sizewell C)

@ EDF | London, GB

Data Analyst

@ Notable | San Mateo, CA