stanford_alpaca
The Stanford Alpaca project delivers an enhanced LLaMA-based model focused on instruction-following, optimized with a comprehensive dataset consisting of 52K unique instructions. The initiative supports research endeavors by offering a robust dataset and a flexible training framework, all while adhering to non-commercial licensing terms. This model invites exploration of its capabilities, urging caution regarding its current limitations, and aims to improve safety and ethical standards. Explore extensive resources such as data generation techniques, fine-tuning methods, and evaluation tools, fostering a deeper engagement with large language models.
