Researchers from the University of Minnesota have introduced GNN-RAG, a novel AI method that combines the language understanding abilities of Large Language Models (LLMs) with the reasoning abilities of Graph Neural Networks (GNNs) in a Retrieval-Augmented Generation (RAG) style. This approach aims to enhance the efficiency and performance of RAG, achieving state-of-the-art (SOTA) results that outperform or match GPT-4. Additionally, Ant Group has proposed MetRag, a multi-layered thoughts enhanced retrieval augmented generation framework. These advancements highlight the ongoing relevance and innovation in the field of AI, particularly in enhancing the capabilities of LLMs and GNNs. A comprehensive guide on how RAG helps Transformers to build customizable Large Language Models is also available.
Graph NNs+RAG for Reasoning. This paper introduces a novel method for combining language understanding abilities of LLMs with the reasoning abilities of GNNs in RAG style. The researches claim that GNN-RAG achieves SOTA outperforming or matching GPT-4. GNN-RAG excels on…
RAG: Still Relevant in the Era of Long Context Models https://t.co/PH6avnfCBv #API #AI #LargeLanguageModels https://t.co/gunwqFZEXv
Ant Group Proposes MetRag: A Multi-Layered Thoughts Enhanced Retrieval Augmented Generation Framework https://t.co/eBqNWi03wR #AI #ArtificialIntelligence #LLM #METRAG #AIsolutions #ai #news #llm #ml #research #ainews #innovation #artificialintelligence #machinelearning #techn… https://t.co/BmJBeK8ryB
GNN-RAG: A Novel AI Method for Combining Language Understanding Abilities of LLMs with the Reasoning Abilities of GNNs in a Retrieval-Augmented Generation (RAG) Style https://t.co/BIAyMihHgd #GNNRAG #AI #KGQA #ArtificialIntelligence #TechInnovation #ai #news #llm #ml #researc… https://t.co/gv4Ed00qiZ
GNN-RAG: A Novel AI Method for Combining Language Understanding Abilities of LLMs with the Reasoning Abilities of GNNs in a Retrieval-Augmented Generation (RAG) Style Researchers from the University of Minnesota introduced GNN-RAG, an efficient approach for enhancing RAG in… https://t.co/qF4hA1PyCp
How RAG helps Transformers to build customizable Large Language Models: A Comprehensive Guide https://t.co/UflQ2IWJF8 #NLP #RAG #AI #MachineLearning #Innovation #ai #news #llm #ml #research #ainews #innovation #artificialintelligence #machinelearning #technology #deeplearning… https://t.co/waGU1dKweZ