| Paper Abstract and Keywords |
| Presentation |
2024-05-30 13:50
Generative AI for Enhanced System Design and Evaluation
Jayesh Guntupalli, Kentaro Watanabe (Hitachi Ltd.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This work delves into the potential of applying Gen-AI technologies to the system design phase, aiming to streamline processes and augment human expertise. Gen-AI is used to automate the creation of complex design elements and is emerging as a powerful tool for system engineers. Also, with LLM-generated content, evaluating and verifying the correctness of the responses is a challenge.
The SE Assistant prototype designed for system engineers intends to create detailed system designs quickly and accurately along with its evaluation. At the core of the SE Assistant is a sophisticated system that combines the power of GPT-4 with a Multimodal Retrieval Augmented Generation pipeline capable of understanding text, images, and tables to provide valuable context. The evaluation uses the strength of strong LLMs in analyzing content based on design-specific criteria.
The SE Assistant prototype demonstrates its ability to streamline the system design process, from initial data gathering to the final design output, making it an invaluable tool for system engineers. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Generative AI / System Engineering / System Design / Large Language Model (LLM) / Retrieval Augmented Generation (RAG) / / / |
| Reference Info. |
IEICE Tech. Rep. |
| Paper # |
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| Date of Issue |
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| ISSN |
Online edition: ISSN 2432-6380 |
| Download PDF |
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| Conference Information |
| Committee |
ICM IPSJ-IOT IPSJ-CSEC |
| Conference Date |
2024-05-30 - 2024-05-31 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
ICM |
| Conference Code |
2024-05-ICM-IOT-CSEC |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Generative AI for Enhanced System Design and Evaluation |
| Sub Title (in English) |
|
| Keyword(1) |
Generative AI |
| Keyword(2) |
System Engineering |
| Keyword(3) |
System Design |
| Keyword(4) |
Large Language Model (LLM) |
| Keyword(5) |
Retrieval Augmented Generation (RAG) |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Jayesh Guntupalli |
| 1st Author's Affiliation |
Hitachi Ltd. (Hitachi Ltd.) |
| 2nd Author's Name |
Kentaro Watanabe |
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Hitachi Ltd. (Hitachi Ltd.) |
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| Speaker |
Author-1 |
| Date Time |
2024-05-30 13:50:00 |
| Presentation Time |
25 minutes |
| Registration for |
ICM |
| Paper # |
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| Volume (vol) |
vol.124 |
| Number (no) |
no.53 |
| Page |
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| #Pages |
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| Date of Issue |
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