来自 | 新智元
【导读】TensorFlow 2.0正式版发布不久，全球开发者和开源用户迎来了首届TensorFlow World大会。谷歌大牛Jeff Dean登台激情演讲，分享了谷歌AI的进展和TensorFlow的野心；谷歌推出TensorFlow Enterprise，提供长期企业支持，这将带来哪些变化。
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步骤1：使用大量的自我监督文本，为“完形填空”任务预训练一个模型 -
步骤2：使用少量数据对单个语言任务的模型进行微调
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大模型，但稀疏激活 -
单个模型解决多个任务 -
通过大模型动态地学习和成长路径 -
模型架构根据需要进行调整 -
利用现有的技能和表示添加新任务
Megan把TensorFlow形容为“一个完整的生态系统”，可以帮助开发者使用机器学习解决棘手的现实问题。它具备3大特点：
1、轻松地构建模型
2、随时随地进行可靠的机器学习生产
3、强大的研究实验
TensorFlow支持更加简便的调试，Megan为我们进行了代码演示：使用Bert模型来进行文本分类，通过准备数据集、适用API，再经过几行代码后就可以直接进行模型训练，再通过几行代码，即可进行模型调试。正因如此，易用的TensorFlow可以让开发者社区很快地进行测试。
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