Cookbooks: Leveraging Structured Outputs¶

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1. How are single and multi-label classifications done using enums?
2. How is AI self-assessment implemented with llm_validator?
3. How to do classification in batch from user provided classes.
4. How are exact citations retrieved using regular expressions and smart prompting?
5. How are search queries segmented through function calling and multi-task definitions?
6. How are knowledge graphs generated from questions?
7. How are complex queries decomposed into subqueries in a single request?
8. How are entities extracted and resolved from documents?
9. How is Personally Identifiable Information sanitized from documents?
10. How are action items and dependencies generated from transcripts?
11. How to enable OpenAI's moderation
12. How to extract tables using GPT-Vision?
13. How to generate advertising copy from image inputs
14. How to use local models from Ollama
15. How to store responses in a database with SQLModel
16. How to use groqcloud api
17. How to do document segmentation using LLMs?
18. How to save 50% of API costs with OpenAI's Batch API using Instructor

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