docs: update readme content

README.md

@@ -80,7 +80,7 @@ The core capabilities include the following parts:
 
 - **Fine-tuning Framework**: Model fine-tuning is an indispensable capability for any enterprise to implement in vertical and niche domains. DB-GPT provides a complete fine-tuning framework that integrates seamlessly with the DB-GPT project. In recent fine-tuning efforts, an accuracy rate based on the Spider dataset has been achieved at 82.5%.
 
-- **Data-Driven Multi-Agents Framework**: DB-GPT offers a data-driven self-evolving fine-tuning framework, aiming to continuously make decisions and execute based on data.
+- **Data-Driven Multi-Agents Framework**: DB-GPT offers a data-driven self-evolving multi-agents framework, aiming to continuously make decisions and execute based on data.
 
 - **Data Factory**: The Data Factory is mainly about cleaning and processing trustworthy knowledge and data in the era of large models.
 

README.zh.md

@@ -80,7 +80,7 @@
 
 - **微调框架**:  模型微调是任何一个企业在垂直、细分领域落地不可或缺的能力，DB-GPT提供了完整的微调框架，实现与DB-GPT项目的无缝打通，在最近的微调中，基于spider的准确率已经做到了82.5%
 
-- **数据驱动的Multi-Agents框架**:  DB-GPT提供了数据驱动的自进化微调框架，目标是可以持续基于数据做决策与执行。 
+- **数据驱动的Multi-Agents框架**:  DB-GPT提供了数据驱动的自进化Multi-Agents框架，目标是可以持续基于数据做决策与执行。 
 
 - **数据工厂**: 数据工厂主要是在大模型时代，做可信知识、数据的清洗加工。