Tag: ParameterEfficient

Large language models (LLMs) have demonstrated remarkable language generation capabilities. However, their training process, which involves unsupervised learning from large ...

In Transformer architectures, computational costs and activation memory grow linearly with increasing feedforward layers’ hidden layer width (FFW). This scaling ...

The development of multimodal large language models (MLLM) represents an important advance. These advanced systems, which integrate language and visual ...

Image by Author As large language models (LLMs) such as GPT-3.5, LLaMA2, and PaLM2 grow ever larger in scale, fine-tuning ...