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| 不论是公开或者私有仓库,都可免费使用所有功能。<br> | |||||
| 尽情将你喜欢的代码都放在这里,仓库数量、存储容量不受限</p> | |||||
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| <p class="am-lh-18">鼓励通过创建合并请求(PR)的方式,更好的进行团队协作<br> | |||||
| 代码评审让每一次的代码修改得以二次确认,提高代码质量<br> | |||||
| 创建并指派任务(Issue),让每一个任务的进展有迹可循,规范管理<br> | |||||
| 被合并的PR,可获得奖励积分;积分总额可以显示出你在项目中的贡献度,也许有一天会有人愿意为此付费<br> | |||||
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| 数据是重要的生产要素,AI开发更是离不开数据;<br> | |||||
| - 数据与模型代码的协同,可在项目中上传关联的数据集;<br> | |||||
| - 数据存储免费,不限制文件大小;<br> | |||||
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| 创建任务时选择对应的数据集,启动任务执行环境(Docker)后,即可在Docker内访问到你的代码和数据,就像在你本地执行一样 | |||||
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| AI流水线 | |||||
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| 提供集代码开发、数据管理、模型调试、推理和评测为一体的AI开发流水线 | |||||
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| <div class="item">配置模型运行环境;</div> | |||||
| <div class="item">可在线编辑和调试模型代码,并将改动更新至代码仓库;</div> | |||||
| <div class="item">基于编辑好的脚本,开展模型评测任务;</div> | |||||
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| <div class="ui bulleted list"> | |||||
| <div class="item">利用已配置好的模型运行环境;</div> | |||||
| <div class="item">基于编辑好的脚本,一键运行,开展模型训练或模型推理任务;</div> | |||||
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| <h2 class="ui center aligned huge blue header am-pt-30"> | |||||
| 协同开发环境 | |||||
| <div class="sub header am-mt-10"> | |||||
| 启智AI协作开发平台与传统git平台最大的不同就在于提供了面向AI开发的协同开发环境 | |||||
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| <a class="ui centered header">开发要素统一管理</a> | |||||
| <div class="description"> | |||||
| 平台提供了AI开发四大要素:模型代码、数据集、模型和执行环境的统一管理 | |||||
| </div> | |||||
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| <a class="ui centered header">数据协同与共享</a> | |||||
| <div class="description"> | |||||
| 通过在项目中上传数据集,项目成员多人协作完成数据预处理;也可以通过将数据设置为公有数据集,与社区开发者共同建立更好的模型 | |||||
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| <a class="ui centered header">模型管理与共享</a> | |||||
| <div class="description"> | |||||
| 将模型与代码版本建立关联,可以基于代码历史版本,使用不同的方式调整模型,并将结果保存下来;训练好的模型可以开放共享,让更多人的使用模型测试并提出反馈 | |||||
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| <img src="../custom/public/img/i-pic-04.svg"> | |||||
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| <a class="ui centered header">一次配置,多次使用</a> | |||||
| <div class="description"> | |||||
| 提供执行环境共享,一次配置,多次使用,降低模型开发门槛,避免花费重复的时间配置复杂的环境 | |||||
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| <img class="ui centered large image" src="../custom/public/img/i-yunnao.svg"> | |||||
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| <div class="ten wide column am-pt-30"> | |||||
| <h2 class="ui huge blue header">鹏城云脑开源协同</h2> | |||||
| <p class="am-lh-18"> | |||||
| 平台已经与鹏城云脑打通,可以利用鹏城云脑的丰富算力资源,完成AI开发任务<br> | |||||
| 鹏城云脑现有AI算力100P FLOPS@FP16(每秒十亿亿次半精度浮点计算),主要硬件基础设施由搭载英伟达Tesla V100 的GPU服务器和搭载鲲鹏、昇腾处理器的Atlas 900 AI集群构成<br> | |||||
| 开发者可以根据使用需求,自由选择相应计算资源,可以测试模型在不同硬件环境下的适配能力、性能、稳定性等<br> | |||||
| 如果您的模型需要更多的计算资源,也可以单独申请<br> | |||||
| </p> | |||||
| <a class="ui blue basic button am-mt-20" href="">马上使用</a> <a class="ui grey basic button am-mt-20" href="">单独申请</a> | |||||
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