Growth Frameworks

Webinar: Generative AI & Large Language Models – A Primer

Generative AI and large language models represent a significant shift in the technological landscape, allowing us to interact and collaborate with data in ways that promise to transform our work and daily lives. In this episode of our Ascent Webinar series, Summit Partners Technologist-in-Residence Neil Roseman shares a primer on the key aspects of generative AI and large language models – what these models are, how they work and why, as operators and investors, we need to understand them.

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"I propose to consider this question, ‘Can machines think?" - Alan Turing


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“We’re now in the generation of generative AI where data has almost become a member of our team. We can interact with it, we can talk to it, and it can talk back to us. It’s very exciting. We know this is going to be a big technological change; I think the question many of us are trying to answer is, how big? What prediction can we make for the changes generative AI will bring to the way we work, the way we play, and the way we live in general?  Is it going to be as big as smartphones or the internet itself? We don’t know yet. One thing we do know is that humans tend to overestimate the impact of technology in the short term and underestimate its impact in the long term.“– Neil Roseman

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About the Authors

Neil Roseman

Neil works closely with the Summit team and our portfolio companies to assist with engineering organization design and architecture strategy. He brings over 20 years of experience in building high-scale software and web services for consumers and the enterprise.

Neil spent a decade at Amazon.com where he served as Vice President of Technology, responsible for Amazon.com’s Marketplace Platform, Digital Media Technologies, and World-wide Retail Software systems. He was instrumental in developing products, software and services for the Kindle line of e-readers, and he led many of Amazon’s most successful product launches, including Music and DVD stores, Marketplace, Amazon China and the initial Amazon Web Services product. Neil’s teams built and designed the Subscriptions Platform and Digital Ordering systems, which are still used globally by Amazon Prime, all Amazon Digital offerings and other Amazon.com services.

After Amazon, Neil served as Vice President of Engineering for Zynga, where he created the company’s platform and led the launch of Zynga.com. Prior to Zynga, he founded Evri.com, which developed a new way for people to discover and engage with content on the web using a deep natural language approach. Earlier in his career, Neil worked for pioneering Internet music e-commerce startup Music Boulevard and BIOSIS (acquired by Thompson Reuters Scientific), a provider of indexing and search tools for the biology and life sciences communities.


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The content provided herein is for informational purposes only and intended solely for prospective or current Summit portfolio company executives. Certain information and industry data contained herein has been obtained from sources believed to be reliable and current, but accuracy cannot be guaranteed. The content presented herein reflects Summit’s views and experience and no assurances are given that the strategies referenced herein will achieve any particular result. Further, the content provided herein is not an offer or sale of any security or investment product or investment advice.

Published on July 18, 2023

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