Project Overview
This project is a specialized tool that uses a fine-tuned large language model to generate dialogue that is consistent with specific character traits and story contexts. For game developers, this can be used to rapidly prototype conversations, and for writers, it can help with creative blocks. This project highlights my ability to not only use a generative model but to customize it for a specific creative application.
Tech Stack & Tools
- Python: For the core AI logic and back-end server.
- LLM Fine-tuning: Use of a model like GPT-2 or a smaller, specialized open-source model.
- Transfer Learning: Fine-tuning a pre-trained model on a dataset of character-driven dialogue.
- Front-End Framework: React or similar for an easy-to-use interface.
My Process
Phase 1: Dataset Creation & Model Fine-tuning
I began by curating a dataset of dialogue examples, each labeled with specific character traits and context. A pre-trained language model was then fine-tuned on this dataset, learning to generate dialogue in a specific style.
Phase 2: Building the Interface
I created an interface where a user could input a character's traits (e.g., "sarcastic," "wise," "cautious") and a conversational prompt. The front-end was designed to be intuitive for writers and game developers.
Phase 3: Integration & Testing
The front-end was integrated with the fine-tuned model's API. I conducted thorough testing to ensure the model generated consistent, high-quality dialogue that accurately reflected the input character traits and context.
Results & Future Work
The resulting tool is a powerful assistant for creative work. It demonstrates an advanced understanding of fine-tuning large language models for a niche application, which is a key skill for building specialized AI products.
Future Enhancements:
- Integrate the tool with game development platforms for real-time dialogue generation.
- Expand the model's capabilities to generate full conversational trees.
- Allow users to upload their own character descriptions and train a personalized model.