Artwork

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

How to Effectively Evaluate Your RAG + LLM Applications

13:35
 
Share
 

Manage episode 392109704 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon 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.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-effectively-evaluate-your-rag-llm-applications.
Ever wondered how some of today's applications seem almost magically smart? A big part of that magic comes from something called RAG and LLM.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #rag-architecture, #rag-plus-llm-applications, #dual-role-of-master-llm, #llm-cycle-of-improvement, #human-in-loop-feedback, #prompt-tuning-by-master-llm, #automating-evaluation-pipeline, #hackernoon-top-story, and more.
This story was written by: @vndee. Learn more about this writer by checking @vndee's about page, and for more stories, please visit hackernoon.com.
Ever wondered how some of today's applications seem almost magically smart? A big part of that magic comes from something called RAG and LLM.

  continue reading

468 episodes

Artwork
iconShare
 
Manage episode 392109704 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon 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.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-effectively-evaluate-your-rag-llm-applications.
Ever wondered how some of today's applications seem almost magically smart? A big part of that magic comes from something called RAG and LLM.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #rag-architecture, #rag-plus-llm-applications, #dual-role-of-master-llm, #llm-cycle-of-improvement, #human-in-loop-feedback, #prompt-tuning-by-master-llm, #automating-evaluation-pipeline, #hackernoon-top-story, and more.
This story was written by: @vndee. Learn more about this writer by checking @vndee's about page, and for more stories, please visit hackernoon.com.
Ever wondered how some of today's applications seem almost magically smart? A big part of that magic comes from something called RAG and LLM.

  continue reading

468 episodes

Todos os episódios

×
 
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

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play