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Brian Muhia
Brian Muhia is an independent researcher, a software engineer with more than a decade of hands-on experience, and an artist. Traditional academia wasn’t his chosen path, but he found profound passion and success in his unique journey. He is the Co-Founder of Fahamu Inc, a technology company started in November 2022 with the mission to build and explain AI research assistants, and AI learning assistants that are beneficial to humanity. He also works with Equiano Institute, an AI safety research non-profit centering Africa, where he is CTO of the Causality, Interpretability and Representation Learning group. His main research focus is mechanistic interpretability for neural network based systems.
In this talk, Fahamu Co-Founder 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.
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