LLaMA Model

LLaMA (Large Language Model Meta AI) is a family of large language models known for their strong performance and open-source availability, driving research into efficient model architectures and safe deployment strategies. Current research focuses on optimizing LLaMA's efficiency through techniques like neural architecture search, quantization, and sparsity, aiming to reduce computational costs and improve inference speed without sacrificing accuracy. This work is significant because it facilitates broader access to powerful LLMs for various applications, while also addressing crucial safety concerns through the development of improved safety alignment datasets and techniques.