Update README.md

README.md

@@ -113,9 +113,9 @@ The model will output something like:
 
 ## Limitations
 
-🤥 Generative models can perpetuate the generation of pseudo-informative content, that is, false information that may appear truthful. For example, multi-modal generative models can be used to create images with untruthful content, while language models for text generation can automate the generation of misinformation.
+🤥 Generative models can perpetuate the generation of pseudo-informative content, that is, false information that may appear truthful.
 
-🤬 In certain types of tasks, generative models can generate toxic and discriminatory content inspired by historical stereotypes against sensitive attributes (for example, gender, race, and religion). Unfiltered public datasets may also contain inappropriate content, such as pornography, racist images, and social stereotypes, which can contribute to unethical biases in generative models. Furthermore, when prompted with non-English languages, some generative models may perform poorly.
+🤬 In certain types of tasks, generative models can produce harmful and discriminatory content inspired by historical stereotypes.
 
 ## Cite as 🤗