Azure OpenAI Embeddings vs OpenAI Embeddings

题意：Azure OpenAI 嵌入与 OpenAI 嵌入的比较

问题背景：

Is anyone getting different results from Azure OpenAI embeddings deployment using text-embedding-ada-002 than the ones from OpenAI? Same text, same model, and the results are considerably far in the vector space.

是否有人在使用Azure OpenAI部署的text-embedding-ada-002模型进行嵌入时，得到的结果与直接使用OpenAI得到的结果不同？即使是相同的文本和相同的模型，结果在向量空间中的差异也相当大。

What's recommended for embeddings?        嵌入（embeddings）的推荐是什么？

问题解决：

Current AOAI's text-embedding-ada-002 is somewhat different from OAI's. Our model currently supports only 2K tokens, while OAI can support 8K tokens.

当前AOAI的text-embedding-ada-002模型与OAI的有所不同。我们的模型目前仅支持2000个词元（tokens），而OAI可以支持8000个词元。

Azure OpenAI doesn’t allow batched embeddings. You need to use multiple simultaneous requests. If you hit the maximum req/min, you will need to ask Azure a quota increase.

Azure OpenAI 不允许批量嵌入。您需要使用多个同时请求。如果您达到每分钟最大请求数限制，您需要向Azure申请配额增加。