Abstract: This research introduces a conceptual framework for privacy-preserving fine-tuning of large language models (LLMs) that combines federated learning, blockchain, and secure blind computation.

Abstract: In supervised-learning-based active sonar classification overcoming data set shifts through standard fine-tuning is challenging due to the limited size and diversity of active sonar data ...

In this tutorial, we will give you the whole chain of large models fine-tuning. Especially, we would give you an example of how to use **QLoRA** technique to turn the general model ...