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Foundation Models for the Real World.

Tamkin, Alexander.

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Foundation Models for the Real World.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Foundation Models for the Real World./
作者:	Tamkin, Alexander.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	179 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-04, Section: B.
Contained By:	Dissertations Abstracts International85-04B.
標題:	Active learning. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30615084
ISBN:	9798380485869

Foundation Models for the Real World.
Tamkin, Alexander.

Foundation Models for the Real World. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 179 p.

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

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

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.

ISBN: 9798380485869Subjects--Topical Terms:

527777
Active learning.

Foundation Models for the Real World.
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