Update README.md

README.md

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 **Update News**
 
-- **2024.02.07**, The **Embedding API** service based on the Dmeta-embedding model has now started internal testing. [Click the link](https://dmetasoul.feishu.cn/share/base/form/shrcnu7mN1BDwKFfgGXG9Rb1yDf) to apply, and you will receive **400M tokens** for free, which can encode approximately GB-level Chinese text.
+- **2024.02.07**, The **Embedding API** service based on the Dmeta-embedding model now open for internal beta testing. **[Click the link](https://dmetasoul.feishu.cn/share/base/form/shrcnu7mN1BDwKFfgGXG9Rb1yDf)** to apply, and you will receive **400M tokens** for free, which can encode approximately GB-level Chinese text.
 
     - Our original intention. Let everyone use Embedding technology at low cost, pay more attention to their own business and product services, and leave the complex technical parts to us.
     - How to apply and use. [Click the link](https://dmetasoul.feishu.cn/share/base/form/shrcnu7mN1BDwKFfgGXG9Rb1yDf) to submit a form. We will reply to you via <[email protected]> within 48 hours. In order to be compatible with the large language model (LLM) technology ecosystem, our Embedding API is used in the same way as OpenAI. We will explain the specific usage in the reply email.