Blueprint Architecture

Blueprint architecture encompasses the design and implementation of structured systems, ranging from AI governance frameworks and auditing procedures to multimodal reasoning models and efficient data processing pipelines. Current research focuses on developing robust and adaptable architectures, including layered auditing approaches for generative AI, compound AI systems integrating LLMs with existing infrastructure, and graph-based debate models for improved multimodal reasoning. These advancements aim to improve the trustworthiness, efficiency, and ethical considerations of AI systems, impacting both the development of responsible AI and the optimization of various real-world applications.