add Starwhale

[tianweidut]

What is this tool for?

Starwhale is an MLOps/LLMOps platform that brings efficiency and standardization to machine learning operations. It streamlines the model development liftcycle, enabling teams to optimize their workflows around key areas like model building, evaluation, release and fine-tuning.

What's the difference between this tool and similar ones?

• Starwhale meets diverse deployment needs with three flexible configurations: Standalone, Server and Cloud.
• Starwhale abstracts Model, Runtime and Dataset as first-class citizens - providing the fundamentals for streamlined operations.
  • Starwhale Model is a standard format for packaging machine learning models that can be used for various purposes, like model fine-tuning, model evaluation, and online serving.
  • Starwhale Dataset offers efficient data storage, loading, and visualization capabilities, making it a dedicated data management tool tailored for the field of machine learning and deep learning.
  • Starwhale Runtime aims to provide a reproducible and sharable running environment for python programs. You can easily share your working environment with your teammates or outsiders, and vice versa.
• Starwhale further delivers tailored capabilities for common workflow scenarios including:
  • Models Evaluation - Implement robust, production-scale evaluations with minimal coding through the Python SDK.
  • Live Demo - Interactively assess model performance through user-friendly web interfaces.
  • LLM Fine-tuning - End-to-end toolchain from efficient fine-tuning to comparative benchmarking and publishing.

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