Generative AI models (Record no. 22833)
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| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250513103921.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250513b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 26149 |
| Author | Takale, Dattatray G. |
| 245 ## - TITLE STATEMENT | |
| Title | Generative AI models |
| Remainder of title | : a comparative analysis |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.10(1), Jan-Apr |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Ghaziabad |
| Name of publisher, distributor, etc. | MAT Journals |
| Year | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 32-38p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | A comprehensive comparative analysis is conducted in this paper on key Generative Artificial Intelligence (GAI) models such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs) and Transformers. This study looks into their architectures, training methods, applications, strong points and shortcomings. GANs are essentially based on the framework and then employ adversarial training; while VAEs are probabilistic encoders and decoders. Transformers on the other hand can handle long-range dependencies beautifully; we explore how they perform in different domains like image, text, music and video generation. This includes both quantitative measures of success and qualitative assessments. In terms of their advantages and drawbacks, every model despite its advancement has its own distinctive features. One problem is that GANs can produce high-quality images they also collapse at multi-task learning stages. The references in this comparative study are valuable for novices who wish to use the right Generative AI model when tackling particular problems; moreover, these findings both inspire and point the way forward to scholars working in this field. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 26150 |
| Co-Author | Mahalle, Parikshit N. |
| 773 0# - HOST ITEM ENTRY | |
| Title | Journal of computer science engineering and software testing |
| Place, publisher, and date of publication | Ghaziabad MAT Journals |
| International Standard Book Number | 2581-6969 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://matjournals.net/engineering/index.php/JOCSES/article/view/295 |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
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| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 13/05/2025 | 2025-0806 | 13/05/2025 | 13/05/2025 | Articles Abstract Database |