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Today we’re joined by Jennifer Glore, VP of customer engineering at SambaNova Systems. In our conversation with Jennifer, we discuss how, and why, Sambanova, who is primarily focused on building hardware to support machine learning applications, has built a GPT language model for the financial services industry. Jennifer shares her thoughts on the progress of industries like banking and finance, as well as other traditional organizations, in their attempts at using transformers and other models, and where they’ve begun to see success, as well as some of the hidden challenges that orgs run into that impede their progress. Finally, we explore their experience replicating the GPT-3 paper from a R&D perspective, how they’re addressing issues of predictability, controllability, governance, etc, and much more.
SambaNova Systems is an AI innovation company that empowers organizations to deploy best-in-class solutions for computer vision, natural language processing, recommendation, and AI for science with confidence. SambaNova’s flagship offering, Dataflow-as-a-Service™️, helps organizations rapidly deploy AI in days, unlocking new revenue and boosting operational efficiency. SambaNova’s DataScale®️ is an integrated software and hardware system using Reconfigurable Dataflow Architecture™️, along with open standards and user interfaces.