Gen AI fails without accurate data extraction. Upstage liberates messy healthcare and insurance data with precision to power gen AI applications. Host Sandy Vance gets behind the mic with Galina Fendikevich, US GTM.  

In this episode of The Beat Podcast, Galina Fendikevich, US GTM Lead at Upstage, joins host Sandy Vance for a deep dive into the fast-evolving world of AI and large language models (LLMs). From breaking down the key differences between small and large language models to exploring what sets Upstage apart in a crowded AI landscape, the conversation offers valuable insights for tech leaders and innovators alike. They also address critical factors that AI systems need to function effectively. Listen in as Galina and Sandy highlight the remarkable potential of AI in healthcare.

Have a question for Galina or Upstage.ai? Reach out by emailing Galina directly at [email protected] or hit the Contact Us button on the website.

In this episode, they talk about:

• The difference between small and large language models
• What makes Upstage AI stand out from other models
• Galena’s journey to Upstage and Upstage’s journey to the US
• What Upstage AI needs to work well
• Why does AI in healthcare work so well?
• Overcoming challenges like hallucinations with large language models
• What is and how to start the process of bringing in an AI model

A Little About Galina:

Galina Fendikevich’s expertise spans product, strategy, engineering, and scaling operations for high-growth companies. With 10+ years of experience in finance, blockchain, and AI, she began her career on Wall Street before co-founding a team acquired by Niantic, creators of Pokémon Go.