Update README.md

README.md

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   example_title: Dermatologist
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+# `sgarbi/gpt-nq-prompt-generator` Model Card
 
-# sgarbi/prompt_generator
-
-## Model Description
-This model is a fine-tuned version of the GPT-2 medium variant. Initially trained on the NaturalQuestions dataset, it underwent additional fine-tuning on a proprietary dataset to generate AI prompts for various professional roles. The proprietary dataset was crafted using an innovative blend of custom scripts, advanced prompt engineering techniques with GPT-3.5-turbo, and insights from the Microsoft Semantic Kernel.
+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.
 
 ## Intended Use
-The primary use-case for this model is to generate detailed AI prompts for various professional roles. It can be employed in applications that require role-specific descriptions or AI-generated insights about a profession.
+
+The `sgarbi/gpt-nq-prompt-generator` is designed with specificity in mind.
+
+**Primary Objective**: The model's main purpose is to generate detailed AI prompts for an array of professional roles, providing users with in-depth insights into the responsibilities and nuances of different job roles.
+
+**Potential Applications**:
+1. **Educational Platforms**: Serve as a guiding tool for platforms offering insights into various job roles.
+   
+2. **Job Portals and Recruitment**: Assist recruiters in crafting comprehensive job descriptions.
+   
+3. **Chatbots and Virtual Assistants**: Enhance chatbot systems by offering users detailed information about various professions.
+
+**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
 ```python