Collaborative Language Model Runner Introduction

Petals offers several key advantages for researchers and developers working with large language models. It enables access to state-of-the-art LLMs without the need for expensive hardware, democratizing AI research. The system provides greater flexibility than typical APIs, allowing users to fine-tune models, access internal states, and implement custom algorithms. Petals supports both inference and training tasks, making it versatile for various NLP applications. By leveraging distributed computing, it achieves faster processing speeds compared to offloading techniques. Additionally, Petals fosters a collaborative ecosystem where users can contribute resources and potentially improve models collectively, advancing the field of natural language processing.