ScholarlySync is an AI-driven platform built on the capabilities of ChatGPT and other Large Language Models (LLMs). It's designed to streamline the research process by improving the accuracy and efficiency of text and data analysis. Users can pull documents from databases or upload them locally, and the tool performs complex tasks by providing clear instructions. ScholarlySync enhances traditional research methods by allowing multiple LLMs to analyze documents collaboratively, providing detailed reporting, evidence, and reasoning for each decision made. It aims to minimize the drawbacks of traditional LLM usage, such as hallucinations and prompt engineering challenges, while offering significant time savings, greater accuracy, transparency, and increased operational capacity suited for academic, governmental, pharmaceutical, healthcare, corporate, and legal research.
• automated document analysis
• integration with multiple llms
• enhanced accuracy and speed
• evidence and reasoning for decisions
• bulk document upload support
• transparent reporting
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