Jacob Andreas News Today

MIT CSAIL researchers create three neurosymbolic methods to help language models build libraries of better abstractions within natural language: LILO assists with code synthesis, Ada helps with AI planning, and LGA guides robotic navigation and manipulation.

MIT and other researchers developed a framework that models irrational or suboptimal behavior of a human or AI agent, based on their computational constraints. Their technique can help predict an agent’s future actions.

Boston MA (SPX) Mar 27, 2024 - Large language models, such as those that power popular artificial intelligence chatbots like ChatGPT, are incredibly complex. Even though these models are being used as tools in many areas, such as

Boston MA (SPX) Mar 27, 2024 - Large language models, such as those that power popular artificial intelligence chatbots like ChatGPT, are incredibly complex. Even though these models are being used as tools in many areas, such as

Boston MA (SPX) Mar 27, 2024 - Large language models, such as those that power popular artificial intelligence chatbots like ChatGPT, are incredibly complex. Even though these models are being used as tools in many areas, such as

Researchers find large language models use a simple mechanism to retrieve stored knowledge when they respond to a user prompt. These mechanisms can be leveraged to see what the model knows about different subjects and possibly to correct false information it has stored.

PhD students Athul Paul Jacob, Maohao Shen, Victor Butoi, and Andi Peng, interning with the MIT-IBM Watson AI Lab, look to improve natural language usage in AI models so that the AI systems can be more dependable and accurate.

Boston MA (SPX) Jan 04, 2024 - Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and sophistication. Like other scientific challenges throughout history, rever

FIND (function interpretation and description) is a new technique for evaluating automated interpretability methods. Developed at MIT, the system uses artificial intelligence to automate the explanation of complex neural networks.

MIT faculty members, including keynote speaker Rodney Brooks, discussed the power and potential pitfalls of generative AI tools like ChatGPT at the “Generative AI: Shaping the Future” Symposium, the kickoff event of the Institute’s Generative AI Week.