Update README.md

README.md

@@ -15,9 +15,7 @@ The model uses task prompts on the format 'define "[word]": [example sentence]'
 To my knowledge, this is the first public model trained on a word definition task.
 Similar work: [Zero-shot Word Sense Disambiguation using Sense Definition Embeddings](https://aclanthology.org/P19-1568.pdf)
 
-For this project, there are two objectives:
-1. Explore generalizability on generating word definitions for unseen words
-2. Explore the utility of word embeddings by definition models
+This model in particular is a on-shot learner for unseen words, as it has to infer the definition by only one example
 
 How to run:
 ```python