Composition Parameter Configurator

via “component parameter configuration via inline editing”

Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines using drag and drop without having to set up development environment.

Unique: Provides type-aware form-based parameter editing that abstracts away YAML syntax while maintaining full fidelity with Kubeflow Pipelines component specifications, enabling non-technical users to configure complex ML components through intuitive UI controls.

vs others: More user-friendly than raw YAML editing for parameter configuration, though less powerful than programmatic APIs for advanced use cases like dynamic parameter generation or conditional component execution.

via “system-prompt-and-parameter-configuration”

Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs. [#opensource](https://github.com/janhq/jan)

via “model-parameter-configuration”

via “workflow-parameter-configuration”