Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia ...

In a previous article, I looked at Grafana, a free, open-source data visualization tool. In the past, I tried (and failed) to use it to create a simple graph using CSV files, which is a bit of an ...

The benefits of using data extraction tools are numerous - speed ... scraped data into different formats like CSV and Excel. This is a mere open source code development framework.

Users can choose from various export strategies and target sources, including MySQL, CSV, TXT and WordPress. Nanonets is a popular data extraction tool that leverages machine learning and AI ...

What we can do is use data extraction tools to recover structures and unstructured ... and fuzzy deduplication, utilizing open-source technologies. Web scraping has now made it feasible to ...

SPF Pro Auto Extraction 4. The Sleuth Kit The Sleuth Kit is one of the open-source data acquisition tools for digital forensic analysis that allow them to extract data from hard disk drives and ...

The World Bank has launched its first open-source software tool, the Metadata Editor, marking a significant step in its commitment to data transparency and open science. This web-based application is ...