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Musings on Building a Generative AI Product

linkedin.com · 2,727 words · saved by 4 readers

Over the last six months, our team here at LinkedIn has been working hard to develop a new AI-powered experience. We wanted to reimagine how our members go about their job searches and browse professional content. The explosion of generative AI made us pause and consider what was possible now that wasn’t a year ago. We tried many ideas which didn’t really click, eventually discovering the power of turning every feed and job posting into a springboard to: Was it easy to build? What went well and what didn’t? Building on top of generative AI wasn’t all smooth sailing, and we hit a wall in many places. We want to pull back the “engineering” curtain and share what came easy, where we struggled, and what’s coming next. Let’s walk through a real-life scenario to show how the system works. Imagine you're scrolling through your LinkedIn feed and stumble upon an intriguing post about accessibility in design. Alongside the post, you're presented with a few starter questions to delve deeper into

Musings on Building a Generative AI Product Skip to main content LinkedIn respects your privacy LinkedIn and 3rd parties use essential and non-essential cookies to provide, secure, analyze and improve our Services, and to show you relevant ads (including professional and job ads ) on and off LinkedIn. Learn more in our Cookie Policy . Select Accept to consent or Reject to decline non-essential cookies for this use. You can update your choices at any time in your settings . Accept Reject Generative AI Musings on building a Generative AI product Authored by Juan Pablo Bottaro April 25, 2024 Co-a

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