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Foundation Models for the Real World.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Foundation Models for the Real World./
Author:	Tamkin, Alexander.
Description:	1 online resource (179 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-04, Section: B.
Contained By:	Dissertations Abstracts International85-04B.
Subject:	Active learning. -
Online resource:	click for full text (PQDT)
ISBN:	9798380485869

Foundation Models for the Real World.
Tamkin, Alexander.

Foundation Models for the Real World. - 1 online resource (179 pages)

Source: Dissertations Abstracts International, Volume: 85-04, Section: B.

Thesis (Ph.D.)--Stanford University, 2023.

Includes bibliographical references

Foundation models are quickly moving from their origins in the lab into real world deployment and use. In this thesis, I discuss two connected lines of research that work towards bridging this gap, so that foundation models can be fruitfully used in real-world settings, e.g. in engineering, medicine, or the sciences. The first is making models more domain-agnostic: while techniques for training foundation models were developed for language and vision domains, we show that simple techniques can generalize these approaches to work across at least twelve different domains. The second is making models more useful in cases of task ambiguity, where the user's desired task may be vague or not-perfectly specified, as is often the case in real-world settings. Here we show how to measure and improve the performance of foundation models under task ambiguity, and explore how models themselves can aid in the process of disambiguating user intent. We close by discussing future directions and the broader outlook of challenges and opportunities ahead.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380485869Subjects--Topical Terms:

555387
Active learning.
Index Terms--Genre/Form:

554714
Electronic books.

Foundation Models for the Real World.
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