Challenges and insights in semantic search using language models

Challenges and insights in semantic search using language models

Information Retrieval systems such as search engines, originally designed to assist users in finding information, have evolved to become more potent and have found utility in wider range of applications by incorporating contextual comprehension using Language Models. Selecting the proper Language Mo...

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Bibliographic Details
Main Author: Hajihashemi Varnousfaderani, Elahe
Other Authors: Faculty of Information Technology, Informaatioteknologian tiedekunta, Information Technology, Informaatioteknologia, University of Jyväskylä, Jyväskylän yliopisto
Format: Master's thesis
Language:eng
Published: 2023
Subjects:
semantic search
large language models
generative models
fine-tuning
transfer learning
Mathematical Information Technology
Tietotekniikka
602
luonnollisen kielen käsittely
tiedonhaku
mallintaminen
tekoäly
koneoppiminen
natural language processing
information retrieval
modelling (representation)
artificial intelligence
machine learning
Online Access: https://jyx.jyu.fi/handle/123456789/92552

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