This repository contains Gen AI projects that performs different tasks
This project demonstrates a simple AI storytelling system using the GPT-2 model from Hugging Face Transformers. It generates creative continuations of a story based on a user-provided prompt and explores how various text generation parameters influence the style and output of the generated content.
Load and use the GPT-2 model from Hugging Face
Accept a text prompt from the user
Generate a creative story continuation
Experiment with different generation settings:
1.temperature
2.top_k
3.max_length
Display generated outputs clearly for comparison
Provide a short reflection on how parameter changes affect storytelling
Understand how GPT-2 generates text
Learn how generation parameters impact creativity and coherence
Gain hands-on experience using Hugging Face's transformers library
A Jupyter Notebook containing:
GPT-2 loading and prompt input
At least 3 different user prompts and generated stories
Experimentation with generation settings
A 4-5 line reflection on parameter impact
Python 3.6+
Jupyter Notebook/Google Colab
Install the required libraries:
- pip install transformers torch
A short section comparing how changes to temperature and top_k affect the tone, randomness, and creativity of the generated text.