Browsing: AI & Robotics
Dimitris Bertsimas PhD ’88 has been appointed vice provost for open learning at MIT, effective Sept. 1. In this role,…
Researchers at Stanford University Propose ExPLoRA: A Highly Effective AI Technique to Improve Transfer Learning of Pre-Trained Vision Transformers (ViTs) Under Domain Shifts
Parameter-efficient fine-tuning (PEFT) methods, like low-rank adaptation (LoRA), allow large pre-trained foundation models to be adapted to downstream tasks using…
Helping robots practice skills independently to adapt to unfamiliar environments | MIT News
The phrase “practice makes perfect” is usually reserved for humans, but it’s also a great maxim for robots newly deployed…
LeanAgent: The First Life-Long Learning Agent for Formal Theorem Proving in Lean, Proving 162 Theorems Previously Unproved by Humans Across 23 Diverse Lean Mathematics Repositories
The problem that this research seeks to address lies in the inherent limitations of existing large language models (LLMs) when…
MIT researchers use large language models to flag problems in complex systems | MIT News
Identifying one faulty turbine in a wind farm, which can involve looking at hundreds of signals and millions of data…
Problem Addressed ColBERT and ColPali address different facets of document retrieval, focusing on improving efficiency and effectiveness. ColBERT seeks to…
LLMs develop their own understanding of reality as their language abilities improve | MIT News
Ask a large language model (LLM) like GPT-4 to smell a rain-soaked campsite, and it’ll politely decline. Ask the same…
AutoArena: An Open-Source AI Tool that Automates Head-to-Head Evaluations Using LLM Judges to Rank GenAI Systems
Evaluating generative AI systems can be a complex and resource-intensive process. As the landscape of generative models evolves rapidly, organizations,…
A recent award from the U.S. Defense Advanced Research Projects Agency (DARPA) brings together researchers from Massachusetts Institute of Technology…
Large language models (LLMs) have gained significant attention in recent years, but understanding their capabilities and limitations remains a challenge.…