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Define data structure clearly
Specify JSON format, CSV columns, or data schemas
Mention specific libraries
PyTorch, TensorFlow, Scikit-learn for targeted solutions
Clarify theory vs. production
Specify if you need concepts or deployment-ready code
Get structured data from LLMs with Instructor. Pattern: 1. Define Pydantic models for output. 2. Use instructor.patch() on OpenAI client. 3. LLM returns validated objects. 4. Automatic retry on validation errors. 5. Partial streaming for progressive updates. 6. Union types for multiple formats. 7. Nested models for complex data. 8. Field descriptions guide LLM. Type-safe LLM outputs. Use for data extraction and classification.