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"This repository includes the official implementation of OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. " https://t.co/x7HhAtaPa8
OpenScholar: The Open-Source AI Outperforming GPT-4o in Scientific Research @TheOpenScholar, a cutting-edge AI developed by the Allen Institute for AI and the University of Washington, is revolutionising the way scientific research is conducted. The open-source AI system… https://t.co/KkQzohnqwV https://t.co/fbfSrXc7dB
AI Summaries Simplify Science, Boosting Public Understanding and Trust A recent study reveals that AI-generated summaries of scientific papers improve public understanding and trust in science. Using GPT-4, researchers created simplified versions of complex research findings,… https://t.co/CG7h8o5z5u
The Allen Institute for AI (AI2) has launched OpenScholar, an innovative open-source AI tool designed to enhance the synthesis of scientific literature. OpenScholar utilizes retrieval-augmented language models (LMs) to answer scientific queries by identifying relevant passages from a vast database of 45 million open-access papers. This new tool aims to simplify the process of staying updated with recent developments in various fields, addressing the challenges faced by researchers in accessing and comprehending large volumes of scholarly articles. Additionally, a recent study indicates that AI-generated summaries of scientific papers can improve public understanding and trust in science, further emphasizing the potential impact of tools like OpenScholar in research and education.
