Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

I love Mermaid syntax for it's simplicity and expressiveness in creating diagrams. And I use them in a couple of my projects. However, I found that the lack of a robust Python library for parsing and ...

Abstract: The increasing use of large language models has heightened the demand for more extensive datasets in natural language processing (NLP). While various augmentation techniques are being ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...

Abstract: In the semantic parsing domain, significant progress has been achieved in Text-to-SQL and question-answering tasks, both focused on extracting information from data sources in their native ...

The music mogul’s lawyers walked his former girlfriend through a voluminous history of text and audio messages in an effort to suggest she willingly engaged in sex sessions he organized. By Julia ...

Text-generating AI programs like ChatGPT are known for everyday tasks like answering questions, but that’s not all they’re good for. These AI agents can use their text-parsing powers to help further ...

To meet the web content crawlability and indexability needs of large language models, a new standards proposal for AI/LLMs by Australian technologist Jeremy Howard is here. His proposed llms.txt acts ...