updatE

Author: mrbullwinkle

articles/ai-services/openai/concepts/models.md

@@ -62,7 +62,7 @@ In testing, OpenAI reports both the large and small third generation embeddings
 | MIRACL average | 31.4 | 44.0 | 54.9 |
 | MTEB average | 61.0 | 62.3 | 64.6 |
 
-The third generation embeddings models support reducing the size of the embedding via a new `dimensions` parameter. Typically larger embeddings are more expensive from a compute, memory, and storage perspective. Being able to adjust the number of dimensions allows more control over overall cost and performance.
+The third generation embeddings models support reducing the size of the embedding via a new `dimensions` parameter. Typically larger embeddings are more expensive from a compute, memory, and storage perspective. Being able to adjust the number of dimensions allows more control over overall cost and performance. Official support for the dimensions parameter was added to the OpenAI Python library in version `1.10.0`. If you are running an earlier version of the 1.x library you will need to upgrade `pip install openai --upgrade`.
 
 OpenAI's MTEB benchmark testing found that even when the third generation model's dimensions are reduced to less than `text-embeddings-ada-002` 1,536 dimensions performance remains slightly better.