Update ai-data/managed-inference/reference-content/bge-multilingual-gemma2.mdx

Co-authored-by: Rowena Jones <[email protected]>

Author: tgenaitay

ai-data/managed-inference/reference-content/bge-multilingual-gemma2.mdx

@@ -41,7 +41,7 @@ As such, it is distributed under the [Gemma terms of use](https://ai.google.dev/
 ## Why is it useful?
 
 - BGE-Multilingual-Gemma2 tops the [MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard), scoring the number one spot in French and Polish, and number seven in English, at the time of writing this page (Q4 2024).
-- As its name suggests, the model's training data spans a broad range of languages, including English, Chinese, Polish, French, and more!
+- As its name suggests, the model's training data spans a broad range of languages, including English, Chinese, Polish, French, and more.
 - It encodes text into 3584-dimensional vectors, providing a very detailed representation of sentence semantics.
 - BGE-Multilingual-Gemma2 in its L4/FP32 configuration boats a high context length of 4096 tokens, particularly useful for ingesting data and building RAG applications.