[no ci] typo fix

README.md

@@ -59,7 +59,7 @@ print(model.execute(prompt))
      - **Speech Transcription**: Extract text from audio files <sub><sup>[[example notebook](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/develop/examples/text/speech_transcription_example.ipynb)]</sup></sub>
      - **Universal Information Extraction**:  extract any kind of information from documents by simply phrasing it in the form of a question <sub><sup>[[example notebook](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/master/examples/text/qa_information_extraction.ipynb)]</sup></sub>
      - **Keyphrase Extraction**:  extract keywords from documents <sub><sup>[[example notebook](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/develop/examples/text/keyword_extraction_example.ipynb)]</sup></sub>
-     - **Generative AI with GPT**: Provide instructions to a lightweight ChatGPT-like model running on your own own machine to solve various tasks. <sub><sup>[[example notebook](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/develop/examples/text/generative_ai_example.ipynb)]</sup
+     - **Generative AI with GPT**: Provide instructions to a lightweight ChatGPT-like model running on your own own machine to solve various tasks. <sub><sup>[[example notebook](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/develop/examples/text/generative_ai_example.ipynb)]</sup>
   - `vision` data:
     - **image classification** (e.g., [ResNet](https://arxiv.org/abs/1512.03385), [Wide ResNet](https://arxiv.org/abs/1605.07146), [Inception](https://www.cs.unc.edu/~wliu/papers/GoogLeNet.pdf)) <sub><sup>[[example notebook](https://colab.research.google.com/drive/1WipQJUPL7zqyvLT10yekxf_HNMXDDtyR)]</sup></sub>
     - **image regression** for predicting numerical targets from photos (e.g., age prediction) <sub><sup>[[example notebook](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/master/examples/vision/utk_faces_age_prediction-resnet50.ipynb)]</sup></sub>