AI14 min read
Connecting AI agents to enterprise knowledge
Research finds only 34% of agentic AI projects reach production due to knowledge gaps.
From MIT Technology Review AI
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AI14 min read
Research finds only 34% of agentic AI projects reach production due to knowledge gaps.
From MIT Technology Review AI
LLMs1 min read
SurveyAgent-HKA is a new multi-agent framework that generates scientific surveys by combining LLMs with human knowledge augmentation. Experiments demonstrate improved citation quality, structural consistency, and content quality compared to baseline approaches.
From arXiv cs.CL
Photo: Yan Krukau
Research1 min read
The Corporate Language Model (CLM) transforms enterprise knowledge into an ontologically grounded foundation, enabling reasoning and executable actions within organizational contexts.
From arXiv cs.AI
LLMs1 min read
Meta AI has developed an AI agent that learns from domain experts, creating a ‘second brain’ for organizational knowledge. The system uses a structured knowledge architecture and a self-improvement loop to permanently capture and share specialist insights without model retraining.
From Meta AI engineering
Research1 min read
Microsoft Research introduced EvoLib, a system that transforms deployment experiences into evolving knowledge for LLMs. This allows models to adapt and learn across tasks long after initial deployment, improving performance and reducing the need for retraining.
From Microsoft Research
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