OpenAI’s NEW Embedding Models
AI Summary
Summary: OpenAI’s AI Model Releases and Their Impact
- December 2022 Developments:
- OpenAI released ChatGPT, gaining significant attention.
- Text Embedding model “Order 002” also released, changing natural language information retrieval.
- New Embedding Models:
- OpenAI introduced “Text Embedding 3 Small” and “Text Embedding 3 Large.”
- Improvements noted in English language embeddings (MTE Benchmark).
- Significant advancements in multilingual embeddings (MIRACLE Benchmark).
- ”Text Embedding 3 Large” scored 54.9 on MIRACLE, a substantial increase from Order 002’s 31.4.
- Model Characteristics:
- No increase in max context window to maintain effective text compression.
- Knowledge cutoff remains September 2021.
- New models allow for adjustable vector dimensions.
- Performance and Usage:
- Large model can reduce dimensions to 256 and still outperform Order 002.
- Embedding through Large is slower, impacting latency.
- Testing showed varying relevance in search results across models.
- Practical Application:
- Demonstrated use of new models in a notebook.
- Compared embedding speeds and search result relevance.
- Noted the potential of smaller vector dimensions in maintaining performance.
- Conclusion:
- The new models show promise, particularly in multilingual contexts.
- Further testing is planned to validate the performance of reduced dimensionality.
- The release includes other models that warrant exploration.
For a more detailed exploration of these new AI models and their capabilities, further experimentation and analysis are suggested.