
Sign up to save your podcasts
Or


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/
Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.
By Arize AI5
1313 ratings
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/
Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.

301 Listeners

333 Listeners

227 Listeners

209 Listeners

200 Listeners

306 Listeners

93 Listeners

505 Listeners

135 Listeners

95 Listeners

151 Listeners

224 Listeners

602 Listeners

35 Listeners

39 Listeners