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To enable efficient retrieval of relevant documents, you can use a vector store like FAISS (Facebook AI Similarity Search). This involves generating embeddings for your documents. Here’s how to ...

Most document retrieval in GenAI is based on semantic similarity, but this approach falls short in a few ways when analyzing clinical texts.

Abstract: This study presents a novel method for estimating job demand by analyzing the relationship between technological advancements and occupational requirements through patent data. By ...

Abstract: Code embedding represents code semantics in vector form. Although code embedding-based systems have been successfully applied to various source code analysis tasks, further research is ...

Lakshman Kumar Jamili is a distinguished Lead Gen AI Architect based in Prosper, Texas, with over 12 years of experience in software development and AI solutions.

New York City council data scientist says organisations should get their hands dirty with open source AI as his teams build ...

We list the best document scanning apps, to make it simple and easy to digitally archive your office files as PDFs. These days great strides have been made toward the ideal of a paperless office ...