Ilya Sutskever from OpenAI once handed John Carmack a reading list of about 30 research papers, saying, “Master these, and you’ll grasp 90% of what’s crucial in AI today.” To round it out, I’ve added a few more LLM papers to cover the remaining 9%....

The symposium concluded with forward-looking discussions on the potential roles of AI in enhancing and transforming human capabilities across various domains. This session not only envisioned future applications of AI but also addressed the necessary frameworks to support these...

The Massachusetts Institute of Technology (MIT) and OpenAI, two vanguard institutions in the field of Artificial Intelligence (AI), convened a seminal symposium focused on the ethical implications and societal impacts of AI technologies. The symposium delved deep into discussions...

Introduction to the Symposium on AI and Ethics The Massachusetts Institute of Technology (MIT) and OpenAI, two vanguard institutions in the field of Artificial Intelligence (AI), convened a seminal symposium focused on the ethical implications and societal impacts of AI...

In the dynamic field of machine learning, the development of sequence modeling techniques has been pivotal. These models are fundamental in applications ranging from natural language processing to predictive analytics, where the understanding and forecasting of sequential data are...