An intelligent MCP (Model Context Protocol) server that extracts placeholders from PowerPoint templates, uses LLM to extract matching data from PDF documents, and generates filled presentations with ...

Abstract: Exporting selected textual data from PDF formats is a challenging task due to the diverse structures of these documents. This project introduces a tool for efficient extraction of ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

Dune has become a leading solution for blockchain on-chain data analysis, repurposing intricate transaction data into easy-to-interpret and actionable insights. Its strength primarily derives from ...

Dune has become a leading solution for blockchain on-chain data analysis, repurposing intricate transaction data into easy-to-interpret and actionable insights. Its strength primarily derives from ...

I don’t use Microsoft Excel all that often, so it remains a bit of a mystery to me. I can enter text and create graphs and that’s basically it. That’s why I’ve set myself a goal to learn one new Excel ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Introduction: Automating the extraction of information from Portable Document Format (PDF) documents represents a major advancement in information extraction, with applications in various domains such ...

Synthetic data is becoming an increasingly attractive tool for companies looking to accelerate their AI development. By simulating realistic scenarios, it can protect privacy, speed up model training ...

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