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Andre Ratzenberger PRO

cyan2k

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using the tech of tomorrow to make apps for today

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OnomaAIResearch/Illustrious-xl-early-release-v0

reacted to singhsidhukuldeep's post with 🚀 7 days ago

Exciting breakthrough in AI: AirRAG - A Novel Approach to Retrieval Augmented Generation! Researchers from Alibaba Cloud have developed a groundbreaking framework that significantly improves how AI systems reason and retrieve information. AirRAG introduces five fundamental reasoning actions that work together to create more accurate and comprehensive responses. >> Key Technical Innovations: - Implements Monte Carlo Tree Search (MCTS) for exploring diverse reasoning paths - Utilizes five core actions: System Analysis, Direct Answer, Retrieval-Answer, Query Transformation, and Summary-Answer - Features self-consistency verification and process-supervised reward modeling - Achieves superior performance across complex QA datasets like HotpotQA, MuSiQue, and 2WikiMultiHopQA >> Under the Hood: The system expands solution spaces through tree-based search, allowing for multiple reasoning paths to be explored simultaneously. The framework implements computationally optimal strategies, applying more resources to key actions while maintaining efficiency. >> Results Speak Volumes: - Outperforms existing RAG methods by over 10% on average - Shows remarkable scalability with increasing inference computation - Demonstrates exceptional flexibility in integrating with other advanced technologies This research represents a significant step forward in making AI systems more capable of complex reasoning tasks. The team's innovative approach combines human-like reasoning with advanced computational techniques, setting new benchmarks in the field.

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cyan2k/Qwen2.5-VL-7B-Instruct-bnb-4bit

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liked a model 5 days ago

OnomaAIResearch/Illustrious-xl-early-release-v0

Text-to-Image • Updated Oct 6, 2024 • 49k • 313

reacted to singhsidhukuldeep's post with 🚀 7 days ago

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Exciting breakthrough in AI: AirRAG - A Novel Approach to Retrieval Augmented Generation!

Researchers from Alibaba Cloud have developed a groundbreaking framework that significantly improves how AI systems reason and retrieve information. AirRAG introduces five fundamental reasoning actions that work together to create more accurate and comprehensive responses.

>> Key Technical Innovations:
- Implements Monte Carlo Tree Search (MCTS) for exploring diverse reasoning paths
- Utilizes five core actions: System Analysis, Direct Answer, Retrieval-Answer, Query Transformation, and Summary-Answer
- Features self-consistency verification and process-supervised reward modeling
- Achieves superior performance across complex QA datasets like HotpotQA, MuSiQue, and 2WikiMultiHopQA

>> Under the Hood:
The system expands solution spaces through tree-based search, allowing for multiple reasoning paths to be explored simultaneously. The framework implements computationally optimal strategies, applying more resources to key actions while maintaining efficiency.

>> Results Speak Volumes:
- Outperforms existing RAG methods by over 10% on average
- Shows remarkable scalability with increasing inference computation
- Demonstrates exceptional flexibility in integrating with other advanced technologies

This research represents a significant step forward in making AI systems more capable of complex reasoning tasks. The team's innovative approach combines human-like reasoning with advanced computational techniques, setting new benchmarks in the field.