Hugging Face has announced a new technique for fine-tuning its pre-trained models, called Gemma. This method is based on the PEFT (Progressive Embedding Fine-Tuning) algorithm and is designed to improve the performance of large language models. According to Hugging Face, Gemma allows for more efficient training by reducing the number of parameters that need to be updated during fine-tuning. The company claims that this results in faster training times and improved model accuracy. --- Why it matters: This matters because it could lead to significant improvements in the efficiency and performance of large language models, which are crucial components of many AI applications. Source: https://huggingface.co/blog/gemma-peft