Update README.md

README.md

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 <img src="https://i.imgur.com/d8Bl04i.png" alt="PicToModel" width="330"/>
 
 ## Model Details
-Jellyfish-13B is a large language model with 13 billion parameters, designed specifically for data managment and preprocessing tasks, such as entity matching, data imputation, error detection, and schema matching.
+Jellyfish-13B is a large language model equipped with 13 billion parameters. It's tailored specifically for data preprocessing tasks, including entity matching, data imputation, error detection, and schema matching.
 
-We fine-tuned [Open-Orca/OpenOrca-Platypus2-13B](https://huggingface.co/Open-Orca/OpenOrca-Platypus2-13B) using the datasets related to data preprocessing tasks.
-Its performance is competitive, standing up well against prior state-of-the-art algorithms and LLMs such as OpenAI GPT 3.5 and GPT 4 ([evaluated by our previous work](https://arxiv.org/abs/2308.16361)).
-Keep in mind that Jellyfish is only a 13B model, allowing for cost-effective local execution while maintaining data security.
+We fine-tuned [Open-Orca/OpenOrca-Platypus2-13B](https://huggingface.co/Open-Orca/OpenOrca-Platypus2-13B) using the datasets pertinent to data preprocessing tasks.
+Its performance is competitive, rivaling previous state-of-the-art algorithms and LLMs such as OpenAI's GPT 3.5 and GPT 4, ([as demonstrated in our earlier studies](https://arxiv.org/abs/2308.16361))
+It is notable that as a 13B model, Jellyfish allows for cost-effective local execution without compromising data security.
 
 |  Task  | Dataset | Non-LLM SoTA<sup>1</sup> | GPT-3.5<sup>2</sup> | GPT-4<sup>2</sup> | Jellyfish-13B| Jellyfish-13B-Resoning |
 | ---- | ---- | ---- | ---- | ---- | ---- | ---- |