References

To learn more about the topics that were covered in this chapter, take a look at the following resources:

• Gartner identifies AI Engineering as a top trend for 2021 and beyond. https://www.gartner.com/en/newsroom/press-releases/2020-10-19-gartner-identifies-the-top-strategic-technology-trends-for-2021
• MLflow, an open-source tool, supports model versioning, deployment, and sharing model performance data. https://mlflow.org
• Trino, an open-source distributed query engine, facilitates fetching data from diverse sources for model training. https://trino.io
• Run.ai offers certified software for pooling and sharing GPU resources, addressing the cost challenges of training models. https://www.run.ai/
• OpenVINO optimizes models for Intel-based hardware, from data centers to edge devices like IoT devices and phones. https://docs.openvino.ai/latest/home.html