IEEE P3410

Anotace textu normy IEEE P3410 :

New IEEE Standard - Active - Draft.

This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.

ISBN: 979-8-8557-1412-8, 979-8-8557-1412-8

Number of Pages: 24

Product Code: STDUD27453, STDAPE27453

Keywords: financial risk management, large-scale financial risk management models, pre-training, fine-tuning, swift adaptation, iteration.

Category: 309

Draft Number: P3410/D6, Oct 2024 - UNAPPROVED DRAFT, P3410/D6, Oct 2024 - APPROVED DRAFT