EY re-envisions RAG around multimodal knowledge graphs to improve accuracy

Retrieval-augmented generation is a standard way to ground large language models in enterprise information, but new research ...
InfoQ

From OTEL to SLMs: Distilling Frontier Model Behaviour from Production Telemetry

Ben O'Mahony discusses building custom AI-powered Language Server Protocols (LSPs) that go beyond standard rule-based ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
IEEE

Rethinking Knowledge Distillation in Collaborative Machine Learning: Memory, Knowledge, and ...

Abstract: Collaborative learning has emerged as a key paradigm in large-scale intelligent systems, enabling distributed agents to cooperatively train their models while addressing their privacy ...