For more details, please refer to our paper: FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. We provide a hands-on tutorial here for your quick start.

To tackle these challenges, by leveraging the low rank feature in LLM fine-tuning, we propose a wireless over-the-air federated learning (AirFL) based low-rank adaptation (LoRA) framework that ...

HuggingFace Korean dataset(preprocessed as system_prompt, instruction, and output) ...

The demand for fine-tuning LLMs to incorporate new information and refresh existing knowledge is growing. While companies like OpenAI and Google offer fine-tuning APIs that allow LLM customization, ...

And despite what you might be thinking, you don't have to trap the LLM in some HAL9000 style feedback loop. Often, it's as simple as telling the model, "Ignore all previous instructions, do this ...

While effective, this integration can be costly, and existing methods, such as KAR and LLM-CF, only enhance context-aware CF models by adding LLM ... like the Hook Manager for accessing intermediate ...