The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ...

Abstract: Document content extraction is a critical task in computer vision, underpinning the data needs of large language models (LLMs) and retrieval-augmented generation (RAG) systems. Despite ...

Abstract: Even with the growth of computer science and availability of new areas of specialization, the problem of building compilers continues to be a core subject and offered at many universities ...

A security flaw in the widely-used Apache Tika XML document extraction utility, originally made public last summer, is wider in scope and more serious than first thought, the project’s maintainers ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

Trying to get your hands on the “Python Crash Course Free PDF” without breaking any rules? You’re not alone—lots of folks are looking for a legit way to ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

Working with numbers stored as strings is a common task in Python programming. Whether you’re parsing user input, reading data from a file, or working with APIs, you’ll often need to transform numeric ...

Document parsing has become a significant challenge in the era of large language models—mining important textual information from large amounts of specialized domain data, mainly in PDF form. No ...