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Managing Annotation Configs and Feedback
arize-annotation
github/awesome-copilot
444
This skill manages the schema for human feedback (annotation configs) within the Arize platform. It allows users to define label types (categorical, continuous, freeform) and programmatically apply these annotations to project spans using the Python SDK. Essential for establishing standardized human review processes and improving model evaluation.
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Arize Prompt Optimization
arize-prompt-optimization
github/awesome-copilot
143
Use production trace data and the ax CLI to locate LLM prompts, collect annotations/evals, and iterate on prompt templates for data-driven improvements.
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