
Sign up to save your podcasts
Or
Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.
">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.
1,281 Listeners
1,009 Listeners
475 Listeners
439 Listeners
295 Listeners
312 Listeners
196 Listeners
271 Listeners
92 Listeners
320 Listeners
106 Listeners
70 Listeners
397 Listeners
424 Listeners
31 Listeners