
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.
5
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.
298 Listeners
331 Listeners
217 Listeners
192 Listeners
198 Listeners
298 Listeners
88 Listeners
426 Listeners
121 Listeners
142 Listeners
201 Listeners
75 Listeners
491 Listeners
31 Listeners
43 Listeners