19 min listen
Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - #672
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - #672
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
46 minutes
Released:
Feb 19, 2024
Format:
Podcast episode
Description
Today we're joined by Armineh Nourbakhsh of JP Morgan AI Research to discuss the development and capabilities of DocLLM, a layout-aware large language model for multimodal document understanding. Armineh provides a historical overview of the challenges of document AI and an introduction to the DocLLM model. Armineh explains how this model, distinct from both traditional LLMs and document AI models, incorporates both textual semantics and spatial layout in processing enterprise documents like reports and complex contracts. We dig into her team’s approach to training DocLLM, their choice of a generative model as opposed to an encoder-based approach, the datasets they used to build the model, their approach to incorporating layout information, and the various ways they evaluated the model’s performance.
The complete show notes for this episode can be found at twimlai.com/go/672.
The complete show notes for this episode can be found at twimlai.com/go/672.
Released:
Feb 19, 2024
Format:
Podcast episode
Titles in the series (100)
This Week In Machine Learning & AI - 5/20/16: AI at Google I/O, Amazon's Deep Learning DSSTNE: This Week In Machine Learning & AI - May 20, 2016… by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)