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LLMs for Data Queries with Sarah Nagy
Manage episode 418199219 series 2661796
One of the most promising applications of large language models is giving non-experts the ability to easily query their own data. A potential positive side effect is reducing ad-hoc data analysis requests that often strain data teams.
Sarah Nagy is the Co-founder and CEO at Seek which is using natural language processing to change how teams work with data. She joins the podcast to talk about the platform and providing a natural language interface to databases.
Sponsorship inquiries: sponsor@softwareengineeringdaily.com
The post LLMs for Data Queries with Sarah Nagy appeared first on Software Engineering Daily.
96 episodes
Manage episode 418199219 series 2661796
One of the most promising applications of large language models is giving non-experts the ability to easily query their own data. A potential positive side effect is reducing ad-hoc data analysis requests that often strain data teams.
Sarah Nagy is the Co-founder and CEO at Seek which is using natural language processing to change how teams work with data. She joins the podcast to talk about the platform and providing a natural language interface to databases.
Sponsorship inquiries: sponsor@softwareengineeringdaily.com
The post LLMs for Data Queries with Sarah Nagy appeared first on Software Engineering Daily.
96 episodes
All episodes
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