• Retrieval, rerankers, and RAG tips and tricks | Data Brew | Episode 39

  • Feb 20 2025
  • Duración: 45 m
  • Podcast

Retrieval, rerankers, and RAG tips and tricks | Data Brew | Episode 39

Escúchala gratis

Ver detalles del espectáculo

  • Resumen

  • In this episode, Andrew Drozdov, Research Scientist at Databricks, explores how Retrieval Augmented Generation (RAG) enhances AI models by integrating retrieval capabilities for improved response accuracy and relevance.

    Highlights include:
    - Addressing LLM limitations by injecting relevant external information.
    - Optimizing document chunking, embedding, and query generation for RAG.
    - Improving retrieval systems with embeddings and fine-tuning techniques.
    - Enhancing search results using re-rankers and retrieval diagnostics.
    - Applying RAG strategies in enterprise AI for domain-specific improvements.
    Más Menos
Más Menos
adbl_web_global_use_to_activate_webcro768_stickypopup

Lo que los oyentes dicen sobre Retrieval, rerankers, and RAG tips and tricks | Data Brew | Episode 39

Calificaciones medias de los clientes

Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.

Reseñas de Audible.com

Opiniones de Amazon
No hay comentarios disponibles