Update README.md

README.md

@@ -47,7 +47,7 @@ _For GPT-3.5, GPT-4 we used the few-shot approach, while for Jellyfish and Jelly
   [HoloClean](https://arxiv.org/abs/1702.00820) for Data Imputation  
 2.  
   [Large Language Models as Data Preprocessors](https://arxiv.org/abs/2308.16361)
-3. Jellyfish-13B-1.1 is set to be the next iteration of Jellyfish-13B and is presently under development. We're showcasing its performance at this stage to highlight its impressive potential. As demonstrated in the table, it has already outperformed Non-LLM methods on the majority of benchmark datasets. We've optimized the training data for this 1.1 version, and its release is on the horizon.
+3. Jellyfish-13B-1.1 is set to be the next iteration of Jellyfish-13B and is presently under development. We showcase its performance at this stage to highlight its impressive potential. As demonstrated in the table, it has already outperformed Non-LLM methods on the majority of benchmark datasets. We've optimized the training data for this 1.1 version, and its release is on the horizon.
 
 
 **Jellyfish paper will be coming soon!**