#30 |Causal Influence Diagrams for Mechanistically Explaining and Verifying Data Flow in LLM Systems
Channel: Lanfrica
Date: 2023-12-15

In this episode, we're joined by Brian Muhia, co-Founder of Fahamu Inc, and CTO of Equiano Institute’s Causality, Interpretability and Representation Learning group. 

In this talk, Brian Muhia describes the need for a critical look at data flow during the process of developing applications that, like Digest, rely on large language models to perform tasks and answer questions. He explains Fahamu's recent work in visualizing and verifying the data flow that occurs when people design their systems in different ways, along with situations that can occur that prevent the user from getting the answers that they like. 

He walks through intent consistency models, a tool used to decide whether certain kinds of data flow are worth implementing, and how others can adopt the visualization methods when building their own systems like Digest.

Listen to this episode on your favorite podcast platform: 
https://bit.ly/lanfrica-talks-30

Follow Brian Muhia
Twitter: https://twitter.com/negamuhia
Linkedln: https://linkedin.com/in/muhia


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