A new way to let AI chatbots converse all day without crashing
Researchers developed a simple yet effective solution for a puzzling problem that can worsen the performance of large language models such as ChatGPT.
Researchers developed a simple yet effective solution for a puzzling problem that can worsen the performance of large language models such as ChatGPT.
June Odongo uses free, online MIT courses to train high-quality candidates, making them job-ready.
PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.
Master’s students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.
MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.
Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.
How do powerful generative AI systems like ChatGPT work, and what makes them different from other types of artificial intelligence?
By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
AI models that prioritize similarity falter when asked to design something completely new.
Some researchers see formal specifications as a way for autonomous systems to "explain themselves" to humans. But a new study finds that we aren't understanding.
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.
Study shows users can be primed to believe certain things about an AI chatbot’s motives, which influences their interactions with the chatbot.
Project shares ways to create community around design equity, ethics, and justice.
The MIT and Accenture Convergence Initiative for Industry and Technology announces new graduate fellows.
Researchers use multiple AI models to collaborate, debate, and improve their reasoning abilities to advance the performance of LLMs while increasing accountability and factual accuracy.