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

Page: https://stenobird.com/podcast/data-brew-by-databricks/mixed-attention-llm-context-data-brew-episode-35
Text version: https://stenobird.com/podcast/data-brew-by-databricks/mixed-attention-llm-context-data-brew-episode-35.md
Podcast: [Data Brew by Databricks](https://stenobird.com/podcast/data-brew-by-databricks)
Published: 2024-11-21T20:00:00+00:00
Episode link: https://www.buzzsprout.com/1370119/episodes/16147194-mixed-attention-llm-context-data-brew-episode-35.mp3
Audio file: https://www.buzzsprout.com/1370119/episodes/16147194-mixed-attention-llm-context-data-brew-episode-35.mp3
Processing state: processed
JSON: https://stenobird.com/v1/public/podcasts/data-brew-by-databricks/episodes/mixed-attention-llm-context-data-brew-episode-35
Duration seconds: 2351

## Resource

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 ...

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## Transcript

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