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9.3. 常用

9.3.1. 快速学习

9.3.2. deep learning

9.3.3. AlphaGo

9.3.4. kubeflow

Kubeflow 是由 Google 等公司于 2017 年推出的基于 Kubernetes 的开源项目,它支持常见的机器学习框架。

Kubeflow has three core components:

1. TF Job Operator and Controller:
    Extension to Kubernetes to simplify deployment of distributed TensorFlow workloads.
2. TF Hub:
    Running instances of JupyterHub, enabling you to work with Jupyter Notebooks.
3. Model Server:
    Deploying a trained TensorFlow models for clients to access and use for future predictions.

9.3.5. 代码生成

9.3.6. 游戏

9.3.7. LLM Observability

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