• Mixed Attention & LLM Context | Data Brew | Episode 35

  • Nov 21 2024
  • Length: 39 mins
  • Podcast

Mixed Attention & LLM Context | Data Brew | Episode 35

Listen for free

View show details

  • Summary

  • In this episode, Shashank Rajput, Research Scientist at Mosaic and Databricks, explores innovative approaches in large language models (LLMs), with a focus on Retrieval Augmented Generation (RAG) and its impact on improving efficiency and reducing operational costs.

    Highlights include:
    - How RAG enhances LLM accuracy by incorporating relevant external documents.
    - The evolution of attention mechanisms, including mixed attention strategies.
    - Practical applications of Mamba architectures and their trade-offs with traditional transformers.
    Show More Show Less
Show More Show Less

What listeners say about Mixed Attention & LLM Context | Data Brew | Episode 35

Average Customer Ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.com.au reviews

Amazon Reviews
No Reviews are Available
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.