Mixed Attention & LLM Context Data Brew Episode 35

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.

You can listen to Mixed Attention & LLM Context Data Brew Episode 35 online on Radio and Podcast. Open the player on this page to stream the available audio.

Mixed Attention & LLM Context Data Brew Episode 35 is an episode from Data Brew by Databricks by Databricks.

This episode is 39:11 long.

This episode was published on Nov 21, 2024.

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