In the ever-evolving landscape of artificial intelligence and natural language processing, the integration of sophisticated language models into creative domains has opened new avenues for innovation. One such exciting venture is the development of a chatbot designed specifically to generate compelling video game stories. This project focuses on creating an intelligent chatbot fine-tuned on a custom context using advanced French language models (LLMs), employing technologies such as Retrieval Augmented Generation (RAG), LangChain, and Vector Databases.
The primary motivation behind this project is to harness the power of cutting-edge AI technologies to enhance the creative process in video game development. By utilizing RAG, LangChain, and Vector Databases, the chatbot can provide nuanced, contextually rich, and engaging storylines tailored to the preferences and linguistic nuances of French-speaking audiences. This project aims to bridge the gap between technological advancements and creative storytelling, offering a robust tool for game developers to streamline and enrich their narrative creation processes.
The scope of this project encompasses the development and deployment of a sophisticated chatbot capable of generating video game stories in French. It involves fine-tuning language models on a specialized corpus, implementing a robust backend using FastAPI or Flask, and creating a user-friendly Single Page Application (SPA) for seamless interaction. Additionally, the project integrates DevOps practices for continuous integration and deployment, ensuring the chatbot's performance and scalability.
Through this project, we aim to demonstrate the potential of AI-driven tools in creative industries, particularly in the realm of video game storytelling. By fine-tuning advanced language models on a specialized French corpus, we strive to deliver a chatbot that not only meets the technical requirements but also resonates with the cultural and linguistic context of its users.