Top 5 Vector Databases for High-Performance LLM Applications
Building AI applications often requires searching through millions of documents, finding similar items in massive…
Category: Machine Learning
If You’ve Never Broken It, You Don’t Really Know It
The following article originally appeared on Medium and is being republished here with the author’s permission. There’s…
The Communication Complexity of Distributed Estimation
We study an extension of the standard two-party communication model in which Alice and Bob…
AgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities
Open-domain Knowledge Graph Completion (KGC) faces significant challenges in an ever-changing world, especially when considering…
Efficient Calibration for Decision Making
A decision-theoretic characterization of perfect calibration is that an agent seeking to minimize a proper…
“Robot, make me a chair”
An AI-driven system lets users design and build simple, multicomponent objects by describing them with…
Synthetic Bootstrapped Pretraining
We introduce Synthetic Bootstrapped Pretraining (SBP), a language model (LM) pretraining procedure that first learns…
UniGen-1.5: Enhancing Image Generation and Editing through Reward Unification in Reinforcement Learning
We present UniGen-1.5, a unified multimodal large language model (MLLM) for advanced image understanding, generation…
Unified Open-World Segmentation with Multi-Modal Prompts
Recent years have witnessed the rapid development of open-world image segmentation, including open-vocabulary segmentation and…
Data-Centric Lessons To Improve Speech-Language Pretraining
Spoken Question-Answering (SQA) is a core capability for useful and interactive artificial intelligence systems. Recently,…