Matt Boulos
About Matt Boulos
Matt Boulos is the Head of AI Safety & Policy, soon to be an assistant professor at Princeton, known for his work on machine learning efficiency and ethical AI.
Title: Head of AI Safety & Policy
Matt Boulos currently holds the position of Head of AI Safety & Policy. In this role, he focuses on the ethical and policy implications of artificial intelligence, ensuring safe and responsible AI deployment. His work involves overseeing initiatives that mitigate risks associated with AI technologies and contribute to the formulation of policies governing their use.
Research on Efficient Inference and Model Design
Matt Boulos has conducted significant research into efficient inference, examining model design, software frameworks, and hardware perspectives to optimize performance. His efforts aim to improve AI systems' efficiency during inference, leveraging hardware-friendly optimizations like sparsity without compromising quality. This work supports the development of more adaptive and resource-efficient AI models.
Contributions to AI Ethics and Policy
Matt Boulos co-authored a report on the state of ethical decision-making in large language models (LLMs). This contribution highlights his commitment to ensuring these powerful AI systems operate within ethical boundaries. The report provides an in-depth analysis of the ethical concerns surrounding LLMs and offers recommendations for creating more accountable AI systems.
Podcast Episode on Machine Learning Technologies
Matt Boulos participated in a podcast episode where he discussed several advanced machine learning topics, including FlashAttention, sparsity, quantization, and efficient inference. His insights in this episode help disseminate knowledge on optimizing AI models, making complex topics accessible to a wider audience interested in machine learning advancements.
Future Role as Assistant Professor at Princeton
Matt Boulos is set to join Princeton University as an assistant professor. In this upcoming role, he will continue his research and advance his teaching in the areas of machine learning and systems. This position will enable him to influence and mentor the next generation of AI researchers and professionals, further contributing to the field.