RAG’s Intelligent Upgrade Agentic RAR (Oxford University)
Discover Oxford’s RAR Framework, a groundbreaking AI model redefining reasoning with adaptive pathways and multi-agent ...
Data in the generative AI era: We need more knowledge engineers
With AI creating a need for knowledge engineering, information science (as we used to call it) has come full circle. It comes ...
The Blood-Horse21d
Union Rags
All winning or stakes-placed progeny are listed for North American performances within the previous seven days. Winners are updated on the list only when the information on new winners is ...
VentureBeat28d
Beyond RAG: How cache-augmented generation reduces latency, complexity for smaller workloads
Learn More Retrieval-augmented generation (RAG) has become the de facto way of customizing large language models (LLMs) for bespoke information. However, RAG comes with upfront technical costs and ...
InfoWorld1mon
The journey towards a knowledge graph for generative AI
From RAG to GraphRAG. To address this limitation, Microsoft introduced the concept of GraphRAG in early 2024. GraphRAG organizes information into a graph of knowledge, enabling it to leverage ...
marktechpost1mon
Meet VideoRAG: A Retrieval-Augmented Generation (RAG) Framework Leveraging Video Content for Enhanced Query Responses
Current methodologies have explored textual or image-based retrieval but have not fully utilized video data. In traditional RAG systems, video content is represented as subtitles or captions, focusing ...
IEEE1mon
Diffusion-based Deep Reinforcement Learning for Resource Management in Connected Construction Equipment Networks: A Hierarchical Framework
Abstract: With the extensive adoption of information technology, tunnel construction is experiencing a rapid digital transformation. Integrating powerful direct communication among construction ...