In 2023, the field of open-source machine learning (ML) models saw significant advancements. Mixtral 8x7B and Stable Diffusion XL set new standards for LLMs, while tools like LangChain and retrieval augmented generation became mainstream. The year also brought improvements to inference speed using TensorRT-LLM and int8 quantization with Mixtral. Additionally, Playground v2 was released, a text-to-image model that can create consistent, stylized images. ComfyUI projects were also showcased in a tutorial on deploying inference pipelines as API endpoints, enabling wider sharing and integration of image generation models. New developments are expected in 2024, but the current year's progress demonstrates the growth and maturity of open-source ML models.