Artwork

Content provided by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone 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://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Moritz Müller on Structuring Content for Enhanced Language Model Capabilities - The Earley AI Podcast with Seth Earley - Episode #047

51:28
 
Share
 

Manage episode 415338932 series 2984858
Content provided by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone 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://player.fm/legal.

Seth Earley sits down with Moritz Müller, a distinguished figure with a rich background in consulting and a leader in artificial intelligence applications. Before carving out his niche at Squirrel AI, Moritz Müller honed his skills at a prestigious consulting firm in Switzerland and spearheaded an ambitious venture by setting up an office in Singapore.
As the head of product management at Squirrel, Moritz brings a wealth of experience from digital transformation programs and a deep understanding of AI technologies across various industries. His insights into the burgeoning world of retrieval augmented generation (RAG) and large language models (LLMs) are second to none, offering listeners an in-depth look at the future of information access and management.
Moritz brings his expertise full-circle by stressing the importance of metadata, vector similarity searches, and the need for ongoing maintenance of knowledge bases to ensure that emerging technologies truly enhance our search capabilities and knowledge utilization.
Key Takeaways
- A thorough exploration of retrieval augmented generation and how it's poised to reshape data handling in the digital era.
- The importance of ACLs, knowledge graphs, digital body language, and conversational search for personalizing organizational data access.
- The need for supervised fine-tuning of LLMs to ensure relevance and accuracy in data retrieval processes.
- How to troubleshoot LLM errors and why successful information retrieval is critical for the effective implementation of RAG.
- The ongoing challenges and considerations in using AI for effective document search and retrieval within organizations.
- The significance of structuring content, tailoring prompts, and understanding the user context to harness the full potential of language models.
Quote from the show:
"The pairing of information retrieval technology with large language models isn't just a minor improvement; it's a revolutionary step forward. It's about reaching into that vast ocean of data and pulling out the exact details you need – that's the game-changer."
- Moritz Müller
Links:
LinkedIn: https://www.linkedin.com/in/moritzbmueller/
Website: https://squirro.com/
Ways to Tune In:

Earley AI Podcast: https://www.earley.com/earley-ai-podcast-home
Apple Podcast: https://podcasts.apple.com/podcast/id1586654770
Spotify: https://open.spotify.com/show/5nkcZvVYjHHj6wtBABqLbE?si=73cd5d5fc89f4781
iHeart Radio: https://www.iheart.com/podcast/269-earley-ai-podcast-87108370/
Stitcher: https://www.stitcher.com/show/earley-ai-podcast
Amazon Music: https://music.amazon.com/podcasts/18524b67-09cf-433f-82db-07b6213ad3ba/earley-ai-podcast
Buzzsprout: https://earleyai.buzzsprout.com/

Thanks to our sponsors:

  continue reading

47 episodes

Artwork
iconShare
 
Manage episode 415338932 series 2984858
Content provided by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone 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://player.fm/legal.

Seth Earley sits down with Moritz Müller, a distinguished figure with a rich background in consulting and a leader in artificial intelligence applications. Before carving out his niche at Squirrel AI, Moritz Müller honed his skills at a prestigious consulting firm in Switzerland and spearheaded an ambitious venture by setting up an office in Singapore.
As the head of product management at Squirrel, Moritz brings a wealth of experience from digital transformation programs and a deep understanding of AI technologies across various industries. His insights into the burgeoning world of retrieval augmented generation (RAG) and large language models (LLMs) are second to none, offering listeners an in-depth look at the future of information access and management.
Moritz brings his expertise full-circle by stressing the importance of metadata, vector similarity searches, and the need for ongoing maintenance of knowledge bases to ensure that emerging technologies truly enhance our search capabilities and knowledge utilization.
Key Takeaways
- A thorough exploration of retrieval augmented generation and how it's poised to reshape data handling in the digital era.
- The importance of ACLs, knowledge graphs, digital body language, and conversational search for personalizing organizational data access.
- The need for supervised fine-tuning of LLMs to ensure relevance and accuracy in data retrieval processes.
- How to troubleshoot LLM errors and why successful information retrieval is critical for the effective implementation of RAG.
- The ongoing challenges and considerations in using AI for effective document search and retrieval within organizations.
- The significance of structuring content, tailoring prompts, and understanding the user context to harness the full potential of language models.
Quote from the show:
"The pairing of information retrieval technology with large language models isn't just a minor improvement; it's a revolutionary step forward. It's about reaching into that vast ocean of data and pulling out the exact details you need – that's the game-changer."
- Moritz Müller
Links:
LinkedIn: https://www.linkedin.com/in/moritzbmueller/
Website: https://squirro.com/
Ways to Tune In:

Earley AI Podcast: https://www.earley.com/earley-ai-podcast-home
Apple Podcast: https://podcasts.apple.com/podcast/id1586654770
Spotify: https://open.spotify.com/show/5nkcZvVYjHHj6wtBABqLbE?si=73cd5d5fc89f4781
iHeart Radio: https://www.iheart.com/podcast/269-earley-ai-podcast-87108370/
Stitcher: https://www.stitcher.com/show/earley-ai-podcast
Amazon Music: https://music.amazon.com/podcasts/18524b67-09cf-433f-82db-07b6213ad3ba/earley-ai-podcast
Buzzsprout: https://earleyai.buzzsprout.com/

Thanks to our sponsors:

  continue reading

47 episodes

Tous les épisodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide