Python project from Andrew Ng provides a streamlined approach to working with multiple LLM providers, addressing a significant pain point in the AI development workflow.

I have a new controversial opinion: managers who are bad at prompting large language models (LLMs) are bad managers. Not ...

Starburst unifies siloed data, simplifies AI workflows with Trino, and boosts LLM accuracy using RAG, governance, and open ...

With zenon 15, COPA-DATA expands its support for HTML5-based web visualization, enabling fast and intuitive screens that work ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

Quantum infrastructure software is redefining quantum computing by automating calibration, optimizing workloads, and letting ...

Researchers show how ChatGPT can generate code to control lab equipment, allowing scientists to automate experiments without ...

As business leaders and data teams seek to navigate the complex vendor landscape for business intelligence (BI), Gartner’s ...

You are looking to shape the future of your supply chain, not just add a new hire. Yet, if you are using the same HR-approved ...

Equipped with a integrated high-performance quasi-direct drive module, the myAGV Pro boasts a compact, lightweight design ...

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

N otebookLM started off as a Google Labs experiment, under the code name "Project Tailwind" in 2023. If you aren't familiar ...