“Agentic RAG is one of the most exciting developments in AI. What is Agentic RAG and why is it useful? The core idea is to build a more robust RAG system that can access external tools such as search engines, knowledge bases, and even other LLM-powered reasoning chains. The
“People have too inflated sense of what it means to “ask an AI” about something. The AI are language models trained basically by imitation on data from human labelers. Instead of the mysticism of “asking an AI”, think of it more as “asking the average data labeler” on the” / X
“Microsoft AI Introduces LazyGraphRAG: A New AI Approach to Graph-Enabled RAG that Needs No Prior Summarization of Source Data Microsoft researchers have introduced LazyGraphRAG, a novel system that surpasses the limitations of existing tools while integrating their strengths.
Ai2 OpenScholar: Scientific literature synthesis with retrieval-augmented language models | Ai2
“🚨Thrilled to share my first PhD project: DreamRunner✨: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation ➡️ A novel storytelling video generation framework based on retrieval-augmented motion prior learning and spatial-temporal region-based
DocumindHQ/documind: Open-source platform for extracting structured data from documents using AI.
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