Efficient Fine-Tuning and Compression of Large Language Models: Towards Low-bit and Ultra-Low Parameter Solutions
Zoom Link: https://hku.zoom.us/j/5995074181?omn=91841905345 Abstract Efficient fine-tuning of Large Language Models (LLMs) is crucial due to their substantial memory and computational demands. This seminar discusses recent advancements in techniques aimed at significantly reducing these costs, enabling effective adaptation of large-scale models even on resource-constrained hardware. The talk will begin with an overview of current challenges and […]
