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51 lines
2.5 KiB
Markdown
51 lines
2.5 KiB
Markdown
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# Deprecation of Answers, Classification, and Search
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In 2021, OpenAI released specialized endpoints in beta for Answers, Classification, and Search.
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While these specialized endpoints were convenient, they had two drawbacks:
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1. These specialized endpoints were eclipsed by techniques that achieved better results.
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2. These specialized endpoints were more difficult to customize and optimize for individual use cases.
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As a result, **the Answers, Classifications, and Search endpoints are being deprecated.**
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## Timeline of deprecation
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For those who have not used these endpoints, nothing will change except that access will no longer be available.
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**For existing users of these endpoints, access will continue until December 3, 2022.** Before that date, we strongly encourage developers to switch over to newer techniques which produce better results.
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## How to transition
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We've written guides and code examples for transitioning from the deprecated API endpoints to better methods.
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### Answers
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[Guide: How to transition off the Answers endpoint](https://help.openai.com/en/articles/6233728-answers-transition-guide)
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* Option 1: transition to embeddings-based search **(recommended)**
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* Example code: [Semantic_text_search_using_embeddings.ipynb](../examples/Semantic_text_search_using_embeddings.ipynb)
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* Option 2: reimplement Answers endpoint functionality
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* Example code: [answers_functionality_example.py](answers_functionality_example.py)
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### Classification
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[Guide: How to transition off the Classifications endpoint](https://help.openai.com/en/articles/6272941-classifications-transition-guide)
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* Option 1: transition to fine-tuning **(recommended)**
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* Example code: [Classification.ipynb](../examples/Classification.ipynb)
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* Option 2: transition to embeddings
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* Example code: [Semantic_text_search_using_embeddings.ipynb](../examples/Semantic_text_search_using_embeddings.ipynb)
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* Option 3: reimplement Classifications endpoint functionality
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* Example code: [classification_functionality_example.py](classification_functionality_example.py)
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### Search
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[Guide: How to transition off the Search endpoint](https://help.openai.com/en/articles/6272952-search-transition-guide)
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* Option 1: transition to embeddings-based search **(recommended)**
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* Example code: [Semantic_text_search_using_embeddings.ipynb](../examples/Semantic_text_search_using_embeddings.ipynb)
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* Option 2: reimplement Search endpoint functionality
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* Example code: [search_functionality_example.py](search_functionality_example.py)
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