Valid

GB/T 43782-2024Artificial intelligence—Technical requirements for machine learning system (English PDF)

人工智能机器学习系统技术要求

Preview PDF

This is a limited preview

Buy now to download the full PDF (15 pages)

Need quotation for your management?

Get a formal quotation for GB/T 43782-2024 in 30 minutes.

Issued by

SAMR; SAC

Level / Type

National · Recommended

Issue date

March 15, 2024

Implementation date

March 15, 2024

Scope

GB/T 43782-2024 is the English-translated version of 人工智能机器学习系统技术要求.

GB/T 43782-2024 is the Chinese standard "Artificial intelligence—Technical requirements for machine learning system". Its scope clause reads: This document presents a machine learning system framework, and specifies the functionality, reliability, maintainability, compatibility, security, and extensibility requirements.

This document is applicable to the basis for planning, research and development, evaluation, selection and acceptance of machine learning support service systems and related solutions in various fields. Its clauses include terms and definitions; abbreviations.

Found what you need?

Document preview — GB/T 43782-2024

National Standard of the People's Republic of China

ICS: 35.240
Classification: L 70

Issued by: State Administration for Market Regulation; Standardization Administration of the PRC

Foreword i
1 Scope
2 Normative references
3 Terms and definitions
4 Abbreviations
5 System framework
5.1 General
5.2 Machine learning runtime components
5.3 Machine learning framework
5.4 Machine learning service components
5.5 Tools
5.6 Operation and maintenance management
6 Functional requirements
6.1 Machine learning runtime components
6.2 Machine learning framework
6.3 Machine learning service components
6.4 Tools
6.5 Operation and maintenance management
7 Reliability requirements
8 Maintainability requirements
9 Compatibility requirements
9.1 Software compatibility requirements
9.2 Hardware compatibility requirements
10 Security requirements
11 Extensibility requirements
Bibliography

1 Scope

This document presents a machine learning system framework, and specifies the functionality, reliability, maintainability, compatibility, security, and extensibility requirements.

2 Normative references

The following documents contain provisions which, through reference in this text, constitute provisions of this document. For dated references, only the edition cited applies. For undated references, the latest edition of the referenced document (including any amendments) applies.

GB/T 17235.1 Information technology - Digital compression and coding of continuous-tone still images - Part 1: Requirements and guidelines

GB/T 33475.2 Information technology - High efficiency media coding - Part 2: Video

GB/T 33475.3 Information technology - High efficiency media coding - Part 3: Audio

GB/T 41867-2022 Information technology - Artificial intelligence - Terminology

GB/T 42018-2022 Information technology - Artificial intelligence - Platform computing resource specification

ISO/IEC 14496-10 Information technology - Coding of audio- visual objects - Part 10: Advanced video coding

ISO/IEC 15948 Information technology - Computer graphics and image processing - Portable Network Graphics (PNG): Functional specification

ISO/IEC 23008-2 Information technology - High efficiency coding and media delivery in heterogeneous environments - Part 2: High efficiency video coding

ISO/IEC 23008-3 Information technology - High efficiency coding and media delivery in heterogeneous environments - Part 3: 3D audio

3 Terms and definitions

For the purposes of this document, the terms and definitions given in GB/T 41867-2022, GB/T 42018-2022 and the following apply.

3.1 machine learning system

software system capable of running or developing machine learning models, algorithms and related application

3.2 machine learning framework

software library that uses the pre-built and optimized component set to define model and realize the encapsulation of machine learning algorithms, data call processing and usage of computing resources

3.3 machine learning service

IT services provided for organizations or individuals with the value in a convenient way they desire by using machine learning models, algorithms and their systems as tools

Note: Machine learning algorithm service is a type of machine learning service, which is used to accept user application requests, select rows for input data processing, and return processing results.

4 Abbreviations

For the purposes of this document, the following abbreviations apply.

ASIC: Application-Specific Integrated Circuit

CPU: Central Processing Unit

DAG: Directed Acyclic Graph

FPGA: Field Programmable Gate Array

GPU: Graphic Processing Unit

IDE: Integrated Development Environment

JSON: JavaScript Object Notation

REST: Representational State Transfer

RPC: Remote Procedure Call

SOA: Service-Oriented Architecture

SQL: Structured Query Language

XML: Extensible Markup Language […]

......
This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 15 pages — is available in the English PDF.

Referenced standards

Cited by

GB/T 47346-2026Information technology - Brain-computer interfaces - Coding and decoding of visual evoked potential data

How to Download GB/T 43782-2024

1
Add to cart
Click "Download PDF" on this page and choose "Buy this standard". You can add more standards before checkout.
2
Checkout
Enter your email and billing details. Payment is processed securely by Stripe (cards or bank transfer). Prefer bank details? Request a quotation (min. order $300).
3
Instant delivery (0–9 sec)
Delivery is automatic: within seconds of payment you'll receive an email with a secure download link. The link stays valid for 72 hours.
4
Invoice included
A tax invoice is attached to the confirmation email. Need a custom invoice? Contact us.