Update README.md

README.md

@@ -18,7 +18,7 @@ widget:
 
 # `sgarbi/gpt-nq-prompt-generator` Model Card
 
-A traditional developer's foray into the world of machine learning has culminated in the creation of the `sgarbi/gpt-nq-prompt-generator`. At its heart, this model symbolizes an earnest attempt to bridge the gap between prompt engineering and genuine understanding. The journey wasn't merely about achieving perfection, but about understanding the intricacies and nuances of training a model that serves a purpose beyond simple prompt generation.
+This is a learning model developed to enhance prompt engineering capabilities. Its creation stems from a systematic approach to understanding the complexities involved in model training. The primary goal of this model is to serve specialized applications beyond the scope of standard prompt generation.
 
 ## Intended Use
 
@@ -36,6 +36,14 @@ The `sgarbi/gpt-nq-prompt-generator` is designed with specificity in mind.
 **Licensing**: This model is proudly released under the MIT license, in alignment with GPT-2's licensing provisions. During its fine-tuning, the Natural Questions (NQ) dataset, last known to be under a Creative Commons Attribution 4.0 International License as of January 2022, was utilized. Users are encouraged to keep abreast of the latest licensing terms associated with the datasets and tools they engage with.
 
 ## How To Use
+
+1. **Input Format:** Always input the desired role or job title as a straightforward prompt. For example, "Software Engineer" or "Nurse Practitioner".
+2. **Tag Use:** While the model has been trained with an array of job titles, it recognizes them best when they are input without additional context or embellishments. 
+3. **Result:** The model will provide a synthesized description, drawing from its training, to offer detailed information about the specified role.
+
+### Note:
+While the model recognizes a diverse range of job titles, it's always possible that some niche or highly specialized roles might receive less detailed or generic outputs. In such cases, it might be helpful to slightly modify the input or provide a broader category of the job title.
+Would this work for
 ```python
 from transformers import GPT2Tokenizer, GPT2LMHeadModel
 import torch