What's New in AI: Findings from the Full Stack Deep Learning (FSDL) Large Language Model (LLM) Bootcamp

reportActive / Technical Report | Accesssion Number: AD1222247 | Open PDF

Abstract:

This presentation summarizes findings from the Full Stack Deep Learning Large Language Model (LLM) Workshop held April 21-22, 2023. I begin with a definition of large language models and describe how to select the best one for your use case. I then provide best practices for using large language models, examine technical limitations, and speculate on near-term trends for these models. I conclude with references to online educational materials.

Author(s):
Garrison, Kevin ; Wagner, Nicholas A.
Author Organization(s):
INSTITUTE FOR DEFENSE ANALYSES ALEXANDRIA VA
Funding Organization(s):
INSTITUTE FOR DEFENSE ANALYSES ALEXANDRIA VA, ALEXANDRIA, VA
Document Type:
Technical Report/Briefing Charts
Publication Date:
2023 Jul 01
Pagination:
32

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution Code:
A - Approved For Public Release
Distribution Statement: Public Release.
Copyright: Not Copyrighted

RECORD

Collection: TRECMS
Identifying Numbers
Contract Number(s):
HQ0034-19-D-0001
Project Number(s):
Subject Terms
Keyword(s):
AI(ARTIFICIAL INTELLIGENCE), Generative AI, FSDL(Full Stack Deep Learning, LLM(Large Language ModelS), LLM Bootcamp, userexperience, language user interfaces
Subject Categories:
Mathematical and Computer Sciences; Mathematical and Computer Sciences
Creation Date:
2024 Feb 29
Update Date:
2024 Mar 12