Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

With the rapid development of artificial intelligencetechnology, RAG (Retrieval-Augmented Generation) architecture is becoming the core technology that connects external knowledge with large models. A ...

Open-source data orchestration platform Kestra reaches 1.0 as organizations grapple with increasing complexity for getting ...

Abstract: Retrieval-Augmented Generation (RAG) is a promising solution that can enhance the capabilities of large language model (LLM) applications in critical domains, including legal technology, by ...

Global Data & AI Virtual Tech Conference (GDAI 2025), the biggest virtual tech conference organized by DataGlobal Hub, was concluded with resounding success, uniting participants from various ...

Part Four explores how engineers build careers, from first roles to senior positions, and how certifications and strategy ...

In January 2025, Google, a leading technology company announced the launch of five free cloud data analytics certificate to boost skills and employability. These no-cost programs help people develop ...

Recently, a research team from the University of Colorado proposed an innovative method for quantum code generation, utilizing large language models (LLM) combined with retrieval-augmented generation ...

STAMFORD, Conn.--(BUSINESS WIRE)--United Rentals, Inc. (NYSE: URI), the world’s largest equipment rental company, today announced the launch of two new features in its suite of digital tools: Smart ...

A simple and efficient method to integrate the Solvecaptcha captcha-solving service into your code, enabling the automation of solving various types of captchas. Examples of API requests for different ...

Several billionaire-led hedge funds purchased shares of Meta Platforms and/or Amazon in the second quarter. Meta Platforms is an early leader in smart glasses, and its Orion product could eventually ...

The LandingAI Agentic Document Extraction API pulls structured data out of visually complex documents—think tables, pictures, and charts—and returns a hierarchical JSON with exact element locations.