Truss is an updated model packaging and serving tool that was reintroduced after a year of learning and development. It aims to solve three common frustrations in the development loop, including a long dev loop for serving ML models, a need for a clear path from notebook to model server, and configuration requirements for Docker and Kubernetes. Truss achieves this by providing a simplified model.py file, a live reload workflow, and a config.yaml file that controls all attributes of the model server without requiring knowledge of Docker or Kubernetes. The tool has also been optimized for faster inference times with Stable Diffusion XL, achieving 1.92 seconds on an A100. Additionally, users can build their own open-source version of ChatGPT using Llama 2 and Chainlit, which provides a competitive large language model and an intuitive interface for building a similar application.