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A novel approach has been developed to allow AI chatbots to engage in conversation throughout the entire day without collapsing.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 17, 202428Views0Likes0Comments
Researchers from MIT and other institutions have developed a method that prevents large AI language machines from crashing during lengthy dialogues. The solution, known as StreamingLLM, tweaks the key-value cache (a sort of conversation memory) of large language models to ensure the first few data pieces remain in memory. Typically, once the cache's capacity is…

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A novel method enables AI chatbots to communicate continuously without failure.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 17, 202439Views0Likes0Comments
Researchers from MIT and other institutions have found a solution to an issue that causes machine-learning model-run chatbots to malfunction during long, continuous dialogues. They found that significant delays or crashes happen when the key-value cache, essentially the conversation memory, becomes overloaded leading to early data being ejected and the model to fail. The researchers…

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An innovative method enables AI chatbots to engage in conversations all day without experiencing errors or shutdowns.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 15, 202430Views0Likes0Comments
A team of researchers from MIT, Meta AI, Carnegie Mellon University, and NVIDIA, have found a solution to the problem of the performance degradation of AI chatbots during extended human-AI conversations. They identified a challenge associated with AI conversation memory, known as the key-value cache, where data is bumped out when the cache exceeds its…

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Improving the dependability of language models by leveraging concepts from game theory.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Game theory, Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural language processing, Research, Robotics, School of Engineering, UncategorizedMay 15, 202432Views0Likes0Comments
Researchers from MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) have designed a new type of game to enhance how artificial intelligence (AI) comprehends and produces text. This "consensus game" includes two parts of an AI system - the part that generates sentences and a part that evaluates those sentences. This model significantly improved the…

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CEO of OpenAI Sam Altman and President Sally Kornbluth engage in a conversation about the potential trends in AI.

Artificial Intelligence, Business and management, Careers, Community, Ethics, History of science, Human-computer interaction, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, President Sally Kornbluth, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Sustainability, Technology and society, UncategorizedMay 7, 202443Views0Likes0Comments

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Improved coding, planning, and robotics performance can be attributed to the enhancement brought about by natural language.

Artificial Intelligence, Brain and cognitive sciences, Center for Brains Minds and Machines, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Defense Advanced Research Projects Agency (DARPA), Department of Defense (DoD), Electrical Engineering & Computer Science (eecs), Human-computer interaction, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Natural language processing, Programming, Programming languages, Quest for Intelligence, Research, Robotics, School of Engineering, School of Science, UncategorizedMay 2, 202440Views0Likes0Comments
Researchers at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) presented three papers at the International Conference on Learning Representations, indicating breakthroughs in Large Language Models' (LLMs) abilities to form useful abstractions. The team used everyday words for context in code synthesis, AI planning, and robotic navigation and manipulation. The three frameworks, LILO, Ada,…

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Faculty, instructors, and students at MIT engage in trials with generative AI in the field of education and learning.

academics, Artificial Intelligence, Classes and programs, Education, Electrical Engineering & Computer Science (eecs), Faculty, Human-computer interaction, Innovation and Entrepreneurship (I&E), Internet, K-12 education, Labor and jobs, Languages, Learning, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MITx, Office of Open Learning, Online learning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Staff, Students, teaching, Technology and society, Uncategorized, Vice ChancellorApril 30, 202447Views0Likes0Comments
During the Festival of Learning 2024 at MIT, discussions were held on leveraging generative AI to enhance learning experiences for students both on and off campus. The panelists, comprising MIT faculty, instructors, staff, and students, emphasized that generative AI should be used to enrich, not replace, the educational experience. They highlighted the ongoing experimentation with…

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Generative AI is being experimented with in teaching and learning by students, faculty, and instructors at MIT.

academics, Artificial Intelligence, Classes and programs, Education, Electrical Engineering & Computer Science (eecs), Faculty, Human-computer interaction, Innovation and Entrepreneurship (I&E), Internet, K-12 education, Labor and jobs, Languages, Learning, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MITx, Office of Open Learning, Online learning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Staff, Students, teaching, Technology and society, Uncategorized, Vice ChancellorApril 30, 202441Views0Likes0Comments
In the MIT Festival of Learning 2024, faculty, students, staff, and alumni explored the role of generative AI in learning and teaching. Some believe that this technology is an essential tool to prepare students for the future of work. Generative AI can be used to support learning experiences, where the student can take ownership. For…

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