TheSequence

TheSequence

Share this post

TheSequence
TheSequence
Edge 303: The Top Two Types Retrieval-Augmented Language Models

Edge 303: The Top Two Types Retrieval-Augmented Language Models

What are the main types of techniques to augment LLMs with external information.

Jun 27, 2023
∙ Paid
26

Share this post

TheSequence
TheSequence
Edge 303: The Top Two Types Retrieval-Augmented Language Models
1
Share
Created Using Midjourney

In this Issue:

  1. The two main types of retrieval augmented LLMs.

  2. Meta AI’s Atlas retrieval augmented LLM.

  3. The Lamini framework for fine-tuning LLMs.

💡 ML Concept of the Day: Two Types Retrieval-Augmented Language Models

In the previous edition of this series, we introduced the concept of retrieval augmented LLMs(RALMs) as models that can complement its knowledge by accessing information from external sources. The RALM research was pioneered by Google a few years ago and has rapidly become one of the fundamental elements of modern LLMs. Not all RALM techniques are equal and we can divide the space into two fundamental groups of methods:

This post is for paid subscribers

Already a paid subscriber? Sign in
© 2025 Jesus Rodriguez
Privacy ∙ Terms ∙ Collection notice
Start writingGet the app
Substack is the home for great culture

Share