Composable Interventions for Language Models

Deep Papers

This week, we're excited to be joined by Kyle O'Brien, Applied Scientist at Microsoft, to discuss his most recent paper, Composable Interventions for Language Models. Kyle and his team present a new framework, composable interventions, that allows for the study of multiple interventions applied sequentially to the same language model. The discussion will cover their key findings from extensive experiments, revealing how different interventions—such as knowledge editing, model compression, and machine unlearning—interact with each other.
Read it on the blog: https://arize.com/blog/composable-interventions-for-language-models/

To learn more about ML observability, join the Arize AI Slack community or get the latest on our LinkedIn and Twitter.