Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 6 additions & 11 deletions tutorial/DocSum/DocSum_Guide.rst
Original file line number Diff line number Diff line change
Expand Up @@ -3,39 +3,34 @@
DocSum
#####################

.. note:: This guide is in its early development and is a work-in-progress with
placeholder content.

Overview
********

The DocSum example is designed to process diverse content types—text documents, spoken language (audio),
and visual media (video)—and generate concise summaries that capture the essence of the original material.
This pipeline integrates ASR(automatic speech recognition) with an LLM using TGI to summarize the content.
This example can be used to create summaries of news articles, research papers, technical documents, legal documents,
multimedia documents, and other types of documents.
The DocSum example is designed to process diverse content types including text documents, spoken language (audio), and visual media (video) to generate concise summaries that capture the essence of the original material.
This pipeline integrates ASR (automatic speech recognition) with an LLM to summarize the content.
This example can be used to create summaries of news articles, research papers, technical documents, legal documents, multimedia documents, and other types of documents.

Purpose
*******
* Quick Content Understanding: Saves time by providing concise overviews of lengthy documents, enabling users to focus on essential information.
* Knowledge Management: Organizes and indexes large repositories of documents, making information retrieval and navigation more efficient.
* Research and Analysis: Simplifies the synthesis of insights from multiple reports or articles, accelerating data-driven decision-making.
* Content Creation and Editing : Generates drafts or summaries for presentations, briefs, or automated reports, streamlining content workflows.
* Content Creation and Editing: Generates drafts or summaries for presentations, briefs, or automated reports, streamlining content workflows.
* Legal and Compliance: Extracts key clauses and obligations from contracts or guidelines, ensuring compliance while reducing review effort.


How It Works
************

The Docsum example uses an open-source model served using a framework such as Text Generation Inference (TGI) or vLLM to construct a summary
The Docsum example uses an open-source model served using a framework such as Text Generation Inference (TGI) or vLLM to construct a summary
of the input provided. It can process textual, audio, and video input from a variety of sources as shown in the diagram below.

.. figure:: /GenAIExamples/DocSum/assets/img/docsum_architecture.png
:alt: DocSum Architecture Diagram

Deployment
**********
Here are some deployment options, depending on your hardware and environment:
Here are some deployment options, depending on the hardware and environment:

.. toctree::
:maxdepth: 1
Expand Down
Loading