LOMO: EFFICIENT LLM TRAINING

Summary from the TLDR AI newsletter

This research introduces LOw-Memory Optimization (LOMO), an optimizer designed to dramatically decrease the resources needed for Large Language Models (LLMs) training, a process that currently requires extensive GPU resources. LOMO's innovative approach allows the fine-tuning of a 65 billion parameter model using just a single machine with 8 RTX 3090 GPUs, each with 24GB memory, reducing memory usage to just 10.8% of the standard method.