Amir Ziashahabi

MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines

Large Language Models (LLMs) are currently pre-trained and fine-tuned on large cloud servers. The next frontier is LLM personalization, where a foundation model can be fine-tuned with user/task-specific data. Given the sensitive nature of such private data, it is desirable to fine-tune these models