Homegrown LLMs and Retrieval Augmented Generation (RAG) technologies
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
Homegrown LLMs and Retrieval Augmented Generation (RAG) technologies
-
Narrado por:
-
De:
Acerca de esta escucha
In today’s conversation Ruben Puentedura acknowledges the limitations of “AI”, shares his research and experience with Retrieval Augmented Generation (RAG) technologies, and talks about the affordances of home grown LLMs (Large Language Models) combined with external resources. We are joined by Bryan Alexander and Tom Haymes.
Dr. Puentedura is the Founder and President of Hippasus, a consulting practice focusing on transformative applications of information technologies to education.
From Local to Global: A Graph RAG Approach to Query-Focused Summarization https://arxiv.org/pdf/2404.16130
Code a simple RAG from scratch https://huggingface.co/blog/ngxson/make-your-own-rag
More from Ruben Puentedura https://www.linkedin.com/in/rubenpuentedura/ Tom Haymes: https://www.linkedin.com/in/tomhaymes/ Bryan Alexander: https://bryanalexander.org/ Mark Corbett Wilson: https://www.linkedin.com/in/markcorbettwilson/
Talking with machines by Mark Corbett Wilson @mcorbettwilson on social media