Update README.md

README.md

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 [GitHub ](https://github.com/RLHF-V/RLAIF-V)
 
-**RLAIF-V-12B** is a model exhibits super GPT-4V trustworthiness. The model is built on the SFT version of OmniLMM-12B, which is one of the first version of MiniCPM-V series. 
+**RLAIF-V-12B** is a multimodal large language model (MLLM) that exhibits **super GPT-4V trustworthiness**. The model is built up on OmniLMM from the [MiniCPM-V](https://github.com/OpenBMB/MiniCPM-V) series. 
 
-We utilize a novel framework, **RLAIF-V**, which **aligns MLLMs in a fully open-source paradigm**. This alignment framework maximally exploits the open-source feedback from two key perspectives, including **high-quality feedback data** and an **online feedback learning algorithm**. 
+We utilize a novel framework, [RLAIF-V](https://github.com/RLHF-V/RLAIF-V), which **aligns MLLMs in a fully open-source paradigm**. This framework maximally exploits the [open-source feedback](https://huggingface.co/datasets/HaoyeZhang/RLAIF-V-Dataset) from two key perspectives, including **high-quality feedback data** and an **online feedback learning algorithm**. 
 
 
 ## Model Details
 
 ### Key Features
 
-* 🏅 **Super GPT-4V Trustworthiness via Open-source Feedback**. By learning from open-source AI feedback, RLAIF-V 12B achieves super GPT-4V trustworthiness in both generative and discriminative tasks.
-* 💪 **Maintaining Well Performance on General Abilities**: On benchmarks tested with the general abilities (e.g. LLaVABench, MMStar), RLAIF-V-12B also exhibits good performance.
+* 🏅 **Super GPT-4V Trustworthiness**: By learning from open-source AI feedback, RLAIF-V-12B achieves super GPT-4V trustworthiness in both generative and discriminative tasks.
+* 💪 **Maintaining Well Performance on General Abilities**: On benchmarks tested with the general abilities (e.g. LLaVA Bench, MMStar), RLAIF-V-12B also exhibits good performance.
 
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   <img src="https://cdn-uploads.huggingface.co/production/uploads/6566e0c493e30c8a60048eb3/ypXZxb4HE-jDPJU9115bi.png" alt="fig1" width="90%"/>