AllenAI has made available a comprehensive guide for building custom post-training pipelines using its Open Instruct framework. The guide focuses on various methods, including supervised fine-tuning and reinforcement learning, which can be efficiently applied on standard hardware without requiring extensive distributed computing. These techniques aim to improve the performance of large language models. The release of this guide is significant because it can help developers and researchers optimize and fine-tune their models for better results.