AAAI Conference 2026 System Paper
AutoTuneX: Interactive Automated Fine-Tuning for Large Language Models
- Daniel Karl I. Weidele
- Priyanshu Rai
- Frederico Araujo
- Teryl Taylor
- Radu Marinescu
We present AutoTuneX, a system architecture design and implementation for users to interactively fine-tune large language models (LLMs) based on automated hyperparameter optimization particularly built around Bandit Limited Discrepancy Search. Next to a classical Graphical User Interface (GUI) our system features an agentic runtime to facilitate automated fine-tuning via chat.