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Let's RAG and roll: the role of content in LLM applications

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Manage episode 453608443 series 2093893
Content provided by Kane Simms. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kane Simms 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.

Generative AI is often marketed as a magical tool—just upload your data and let the model do the heavy lifting. But the reality is far from simple. Retrieval-Augmented Generation (RAG) doesn’t work without thoughtful preparation, clear strategy, and, most importantly, quality content.


In this episode, we dive deep into the critical role content plays in the success of AI systems like RAG. Join us as we speak with seasoned content strategists and AI industry experts who have been on the frontlines of managing and optimizing knowledge bases for AI use cases. We’ll explore why the future of AI isn’t about replacing writers—it’s about empowering content designers, technical writers, and knowledge architects to create structured, optimized, and actionable information that AI can truly work with.


If you’ve ever wondered why your AI project underdelivered or how to transform legacy content into a powerful AI resource, this episode is for you.



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

343 episodes

Artwork
iconShare
 
Manage episode 453608443 series 2093893
Content provided by Kane Simms. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kane Simms 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.

Generative AI is often marketed as a magical tool—just upload your data and let the model do the heavy lifting. But the reality is far from simple. Retrieval-Augmented Generation (RAG) doesn’t work without thoughtful preparation, clear strategy, and, most importantly, quality content.


In this episode, we dive deep into the critical role content plays in the success of AI systems like RAG. Join us as we speak with seasoned content strategists and AI industry experts who have been on the frontlines of managing and optimizing knowledge bases for AI use cases. We’ll explore why the future of AI isn’t about replacing writers—it’s about empowering content designers, technical writers, and knowledge architects to create structured, optimized, and actionable information that AI can truly work with.


If you’ve ever wondered why your AI project underdelivered or how to transform legacy content into a powerful AI resource, this episode is for you.



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

343 episodes

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