tencent cloud

Introduction
最后更新时间:2025-11-13 20:53:01
Introduction
最后更新时间: 2025-11-13 20:53:01
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OverviewThe Tencent Cloud TI-ONE Platform (TI-ONE) is a one-stop machine learning platform for AI engineers, providing users with end-to-end development support such as data access, model training, and model management to model services. TI-ONE supports various training methods and algorithm frameworks to meet the needs in different AI scenarios.The TI-ONE APIs described in this section are all API 3.0 interfaces.You can call these APIs to perform operations on TI-ONE, such as creating model training tasks and model services.For a complete list of all APIs supported by TI-ONE, refer to API Overview(https://www.tencentcloud.com/document/product/851/75060?from_cn_redirect=1).## GlossaryCommon terms for TI-ONE APIs are listed in the table below:|
Term
| Description ||---------|---------|

| Training Task | An asynchronous process that executes model training on computational resources using input data to generate model files.| Model | The result produced by a training task based on data and algorithm code, which can predict new data.| Model Service | A deployed model serving as an online API service (such as a RESTful API) that supports real-time inference requests.## Usage LimitsFor API parameter limitations, refer to the parameter descriptions in the documentation for each API.## Getting Started with APIsYou can use the API Explorer tool to call APIs online.This document takes Creating a Model Training Task as an example. The steps to call an API via the API Explorer tool are as follows:1. Go to the API Explorer(https://console.tencentcloud.com/api/explorer) tool page. For more information about using the API Explorer tool, refer to Using API Explorer(https://www.tencentcloud.com/document/product/1278/46697?from_cn_redirect=1).2. Call the CreateTrainingTask(https://www.tencentcloud.com/document/product/851/117377?from_cn_redirect=1) API to create a model training task.3. Upon successful creation, the platform will proceed to schedule and execute the training task.

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