![]() ![]() Prodigy-textcat-openai design setup Prodigy OpenAI recipes ⏳ Setup and Install □ Named-entity recognition (NER) : NER annotation with zero- or few-shot learning Example usage Interactively tune the prompt examples : Fetch examples up-front Exporting the annotations and training an NER model □ Text categorization (Textcat) : Textcat annotation with zero- or few-shot learning Example usage Binary text categorization Multilabel and multiclass text categorization Writing templates Interactively tune the prompt examples : Fetch text categorization examples up-front Working with imbalanced data Exporting the annotations and training a text categorization model □ Terms : Fetch phrases and terms based on a query Example usage Towards Patterns Known Limitations □ Prompt A/B evaluation ab.openai.prompts: A/B evaluation of prompts Example usage templates/ab/prompt1.jinja2 templates/ab/prompt2.jinja2 data/ab_example.jsonl templates/ab/input.jinja2 Results ❓ What's next? README.md ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |