Artwork

Content provided by Eric Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Anderson 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!

Haystack and Intelligent Search with Milos Rusic

30:32
 
Share
 

Manage episode 356055126 series 2626943
Content provided by Eric Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Anderson 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.

Eric Anderson (@ericmander) is joined by Milos Rusic (@rusic_milos) to discuss Haystack, the open-source NLP framework for leveraging Transformer models and building intelligent search systems. Milos and his colleagues at deepset were early contributors to Hugging Face’s Transformer models, and began building pipelines for searching large document stores. Today, Haystack is wildly popular, with an active Discord community and over 6,000 GitHub stars.

Subscribe to Contributor on Substack for email notifications, and join our Slack community!

In this episode we discuss:

  • A deep dive into how Haystack works and its many use cases
  • How a customer demo with one-minute long queries helped inspire Haystack
  • Marketing open-source projects vs word of mouth
  • NLP applications working with structured data and translating between types of data
  • Imagining a world where every person has their own personal ChatGPT

Links:

Other episodes:

  continue reading

83 episodes

Artwork
iconShare
 
Manage episode 356055126 series 2626943
Content provided by Eric Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Anderson 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.

Eric Anderson (@ericmander) is joined by Milos Rusic (@rusic_milos) to discuss Haystack, the open-source NLP framework for leveraging Transformer models and building intelligent search systems. Milos and his colleagues at deepset were early contributors to Hugging Face’s Transformer models, and began building pipelines for searching large document stores. Today, Haystack is wildly popular, with an active Discord community and over 6,000 GitHub stars.

Subscribe to Contributor on Substack for email notifications, and join our Slack community!

In this episode we discuss:

  • A deep dive into how Haystack works and its many use cases
  • How a customer demo with one-minute long queries helped inspire Haystack
  • Marketing open-source projects vs word of mouth
  • NLP applications working with structured data and translating between types of data
  • Imagining a world where every person has their own personal ChatGPT

Links:

Other episodes:

  continue reading

83 episodes

All episodes

×
 
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