AI for research
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RAG in Healthcare: Real Adoption Use Case Examples
Retrieval-Augmented Generation (RAG) improves the reliability of AI in healthcare by grounding responses in verified external knowledge, addressing hallucinations typical in Large Language Models (LLMs). Anticipated growth in RAG adoption highlights its critical role in enhancing clinical decision-making and patient safety while navigating challenges such as algorithmic bias and HIPAA compliance.
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Learn NotebookLM For Beginners – 2025 Guide With FAQs Solved And Real Examples
Get started with Google NotebookLM, an AI-powered note-taking assistant, is designed for academic researchers, writers, and business professionals to improve productivity. With key features like document integration, summarization, interactive Q&A, and audio overviews, it aims to upgrade your note-taking by generating insights and help with probing with existing notes. In this guide, I have covered…