Retrieval-Augmented Generation - Machine State | ARSA Technology

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Retrieval-Augmented Generation

A collection of 9 posts

Revolutionizing Patient-Trial Matching: A Lightweight AI Approach for Scalable Healthcare

Patient-Trial Matching

Revolutionizing Patient-Trial Matching: A Lightweight AI Approach for Scalable Healthcare

Discover a new AI framework combining RAG and LLMs for efficient, scalable patient-trial matching. Reduce costs, improve accuracy, and accelerate clinical research with privacy-preserving solutions.

Forget, Then Recall: Enhancing Large Language Models with Gist Sparse Attention for Long Contexts

Gist Sparse Attention

Forget, Then Recall: Enhancing Large Language Models with Gist Sparse Attention for Long Contexts

Explore Gist Sparse Attention (GSA), an AI innovation that compresses and selectively recalls information for LLMs, drastically reducing computational costs and improving accuracy for long contexts. Learn its practical applications and how it's revolutionizing enterprise AI deployments.

AI for Health: Revolutionizing Tuberculosis Care with Domain-Specific Language Models

Domain-Specific LLM

AI for Health: Revolutionizing Tuberculosis Care with Domain-Specific Language Models

Explore how domain-specific AI is transforming TB care in South Africa. Learn about the development and impact of specialized Large Language Models for enhanced patient management and clinical support.

Revolutionizing Healthcare: How RAG-Enhanced LLMs are Building Intelligent Assistants

Revolutionizing Healthcare: How RAG-Enhanced LLMs are Building Intelligent Assistants

Explore PriHA, a RAG-enhanced LLM framework designed for primary healthcare assistance. Learn how it overcomes AI limitations to deliver accurate, localized medical information, improving patient self-management and reducing healthcare costs for an aging population.

Building Trust in the Skies: How AI and Knowledge Graphs Revolutionize Aviation Safety

Aviation Safety

Building Trust in the Skies: How AI and Knowledge Graphs Revolutionize Aviation Safety

Explore a novel framework combining Large Language Models with Knowledge Graphs to create verifiable, trustworthy AI for aviation safety, mitigating hallucination and ensuring regulatory compliance.

Beyond the Hype: Why PDF Preprocessing is Critical for High-Accuracy RAG Systems

Retrieval-Augmented Generation

Beyond the Hype: Why PDF Preprocessing is Critical for High-Accuracy RAG Systems

Discover how robust PDF conversion and smart chunking strategies are paramount for Retrieval-Augmented Generation (RAG) system accuracy, especially for sensitive and non-English documents.

AI That Explains Itself: The Rise of Interpretable, Training-Free Systems for Dynamic Insights

Interpretable AI

AI That Explains Itself: The Rise of Interpretable, Training-Free Systems for Dynamic Insights

Explore MERIT, a framework enabling AI systems to provide transparent, reasoned insights without costly retraining. Discover how memory-enhanced retrieval transforms AI for dynamic, interpretable decision-making in enterprises.

Enhancing LLM Reasoning: A New Benchmark for Hybrid Knowledge Integration

Enhancing LLM Reasoning: A New Benchmark for Hybrid Knowledge Integration

Explore HybridRAG-Bench, a new framework evaluating how retrieval-augmented models truly reason over hybrid knowledge, overcoming pretraining contamination for reliable AI deployment.