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Carnegie Mellon University introduces AI2T, a groundbreaking framework designed to significantly improve the efficiency of intelligent agent development. AI2T empowers diverse applications across multiple domains by streamlining the development process and enhancing capabilities.

Large Language Models (LLMs) are constantly evolving in the field of artificial intelligence. Researchers from Carnegie Mellon University (CMU) and HuggingFace recently introduced a new method called Meta Reinforcement Fine-Tuning (MRT). This method aims to optimize the computational efficiency of LLMs during testing, particularly excelling in solving complex reasoning problems. Studies show that existing LLMs struggle with...

OpenAI has appointed Professor Zico Kolter, a machine learning expert from Carnegie Mellon University, to its board. This move aims to enhance its expertise in safety decision-making and project safety. As an authority in the field of machine learning, Professor Kolter will provide critical support to OpenAI's Safety and Security Committee, ensuring the security and responsible operation of artificial intelligence systems. His addition not only reflects OpenAI's commitment to technology safety but also signifies that under Professor Kolter's guidance, OpenAI will continue to advance.