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How to extract value from digital

Digital adoption is generating significant excitement across the organization. The zest is warranted because digital can be truly disruptive if done well—and can yield significant improvements in business models, revenues, margins, customer service and supply chain efficiencies. We see several approaches in play. A large heavy-industry manufacturing company, for instance, has embarked on multiple simultaneous…

This AI Paper from UC Berkeley Explores the Potential of Feedback Loops in Language Models

Artificial intelligence (AI) is witnessing an era where language models, specifically large language models (LLMs), are not just computational entities but active participants in the digital ecosystem. These models, through their interactions with the external world, be it querying APIs, generating content that influences human behavior, or executing system commands, have started to form complex…

Meet ULTRA: A Pre-Trained Foundation Model for Knowledge Graph Reasoning that Works on Any Graph and Outperforms Supervised SOTA Models on 50+ Graphs

ULTRA is a model designed to learn universal and transferable graph representations for knowledge graphs (KGs). ULTRA creates relational illustrations by conditioning them on interactions, enabling it to generalise to any KG with different entity and relation vocabularies. A pre-trained ULTRA model exhibits impressive zero-shot inductive inference on new graphs in link prediction experiments, often…