AutoTuneX: Interactive Automated Fine-Tuning for Large Language Models

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.

Authors

• Daniel Karl I. Weidele
• Priyanshu Rai
• Frederico Araujo IBM Research
• Teryl Taylor IBM Research
• Radu Marinescu

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