Xavier Hinaut

This six-month Master’s spring 2024 internship is centered on the ambitious goal of developing a cutting-edge Large Language Model (LLM) based service, specifically tailored to assist in programming with the ReservoirPy library. The primary objective is to create an AI-powered tool that simplifies and enhances the coding experience for users working with reservoir computing. This involves not only integrating the LLM with ReservoirPy to provide real-time coding assistance and error correction, but also customizing the model to understand and effectively respond to industry-specific terminologies and queries. Through this project, the intern will contribute to a pioneering effort in AI-assisted coding, bridging the gap between advanced AI language capabilities and practical, domain-specific programming needs.