Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

Flyte

Flyte's core use cases include data engineering, machine learning, and analytics. 

1. *Data Engineering*: Create ETL workflows for processing data using tools like SQLAlchemy and Pandas.
2. *Machine Learning*: Train classifiers with Scikit-Learn and Pandas.
3. *Analytics*: Develop data cleaning and plotting pipelines with Plotly and Pandas.

Would you like more detail?

Sources:
- <https://docs.flyte.org/en/latest/core_use_cases/index.html|Core use cases - Flyte> :+1: 0 button :-1: 0 button 💡 *Hint:* Mention @runllm in the thread for followups.

Also run Batch and near realtime predictions

Deep learning and distributed training, Contiual pre training etc