[no ci] typo fix

examples/README.md

@@ -155,7 +155,7 @@ The objective of the CoNLL2003 task is to classify sequences of words as belongi
 ### <a name="extraction"></a>Universal Information Extraction: [qa_information_extraction.ipynb](https://github.com/amaiya/ktrain/tree/master/examples/text)
 ### <a name="kwextraction"></a>Keyphrase Extraction: [keyword_extraction_example.ipynb](https://github.com/amaiya/ktrain/tree/master/examples/text)
 ### <a name="indonesian"></a> [Indonesian NLP examples by Sandy Khosasi](https://github.com/ilos-vigil/ktrain-assessment-study) including Indonesian question-answering, emotion recognition, and document similarity
-### <a name="generativeai"></a> Generative AI Using GPT[generative_ai_example.ipynb]((https://github.com/amaiya/ktrain/tree/master/examples/text/generative_ai_example.ipynb)
+### <a name="generativeai"></a> Generative AI Using GPT[generative_ai_example.ipynb](https://github.com/amaiya/ktrain/tree/master/examples/text/generative_ai_example.ipynb)
 
 
 ## Vision Data