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Why enterprise AI lives or dies on applied research | Contextual AI’s Elizabeth Lingg
Manage episode 506669614 series 2844204
Content provided by LinearB. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LinearB or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
What does it take to transform a brilliant AI model from a research paper into a product customers can rely on? We're joined by Elizabeth Lingg, Director of Applied Research at Contextual AI (the team behind RAG), to explore the immense challenge of bridging the gap between the lab and the real world. Drawing on her impressive career at Microsoft, Apple, and in the startup scene, Elizabeth details her journey from academic researcher to an industry leader shipping production AI.
Elizabeth shares her expert approach to measuring AI impact, emphasizing the need to correlate "inner loop" metrics like accuracy with "outer loop" metrics like customer satisfaction and the crucial "vibe check." Learn why specialized, grounded AI is essential for the enterprise and how using multiple, diverse metrics is the key to avoiding model bias and sycophancy. She provides a framework for how research and engineering teams can collaborate effectively to turn innovative ideas into robust products.
Check out:
Follow the hosts:
Follow today's guest(s):
- Learn more about Contextual AI: Contextual.ai Website
- Follow Contextual AI on Social Media: LinkedIn | X (formerly Twitter)
- Connect with Elizabeth: LinkedIn
Referenced in today's show:
- Throwing AI at Developers Won’t Fix Their Problems
- Why language models hallucinate
- i ran Claude in a loop for three months, and it created a genz programming language called cursed
Support the show:
- Subscribe to our Substack
- Leave us a review
- Subscribe on YouTube
- Follow us on Twitter or LinkedIn
Offers:
243 episodes
Share
Manage episode 506669614 series 2844204
Content provided by LinearB. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LinearB or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
What does it take to transform a brilliant AI model from a research paper into a product customers can rely on? We're joined by Elizabeth Lingg, Director of Applied Research at Contextual AI (the team behind RAG), to explore the immense challenge of bridging the gap between the lab and the real world. Drawing on her impressive career at Microsoft, Apple, and in the startup scene, Elizabeth details her journey from academic researcher to an industry leader shipping production AI.
Elizabeth shares her expert approach to measuring AI impact, emphasizing the need to correlate "inner loop" metrics like accuracy with "outer loop" metrics like customer satisfaction and the crucial "vibe check." Learn why specialized, grounded AI is essential for the enterprise and how using multiple, diverse metrics is the key to avoiding model bias and sycophancy. She provides a framework for how research and engineering teams can collaborate effectively to turn innovative ideas into robust products.
Check out:
Follow the hosts:
Follow today's guest(s):
- Learn more about Contextual AI: Contextual.ai Website
- Follow Contextual AI on Social Media: LinkedIn | X (formerly Twitter)
- Connect with Elizabeth: LinkedIn
Referenced in today's show:
- Throwing AI at Developers Won’t Fix Their Problems
- Why language models hallucinate
- i ran Claude in a loop for three months, and it created a genz programming language called cursed
Support the show:
- Subscribe to our Substack
- Leave us a review
- Subscribe on YouTube
- Follow us on Twitter or LinkedIn
Offers:
243 episodes
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Similar to Dev Interrupted
A podcast for developers interested in building great software products. Every episode, Adam Wathan is joined by a guest to talk about everything from product design and user experience to unit testing and system administration.
…
continue reading
Hanselminutes is Fresh Air for Developers. A weekly commute-time podcast that promotes fresh technology and fresh voices. Talk and Tech for Developers, Life-long Learners, and Technologists.
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continue reading
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The Ticket: Discover the Future of Customer Service, Support, and Experience, with Intercom
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On The Ticket, you'll hear Intercom's Customer Support team in conversation with the customer service leaders, renowned customer experience thinkers, and influential authors who are shaping the field of customer support. Follow The Ticket to get the weekly episodes and sign up for our twice-monthly newsletter bursting with all the insights, trends, tips, and assets your team needs to embrace the future of customer service. https://www.intercom.com/blog/newsletter 🏠 www.intercom.com
…
continue reading
Developer Tea exists to help driven developers connect to their ultimate purpose and excel at their work so that they can positively impact the people they influence. With over 17 million downloads to date, Developer Tea is a short podcast hosted by Jonathan Cutrell, engineering leader with over 15 years of industry experience. We hope you'll take the topics from this podcast and continue the conversation, either online or in person with your peers. Email: [email protected]
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continue reading
Thanks for visiting The Cell Phone Junkie! I will be taking the time each week to discuss my favorite topic, cell phones. Any feedback is appreciated and welcome. You can email me at: questions (AT) thecellphonejunkie (DOT) com or call: 206-203-3734 Thanks and welcome!
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continue reading
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continue reading
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Defensive Security is a weekly information security podcast which reviews recent high profile cyber security breaches, data breaches, malware infections and intrusions to identify lessons that we can learn and apply to the organizations we protect.
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continue reading
The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
…
continue reading
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