Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

From real time voice AI to generative media, these five startups are building the inference layer powering the next ...

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...

By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...

The European Parliament disabled built-in AI features on lawmakers’ work devices, citing unresolved cloud-processing security ...

OpenAI’s new Frontier Alliances with Accenture, BCG, Capgemini, and McKinsey aim to speed enterprise agent deployments and AI strategy work.

The data science landscape is not merely evolving; it is undergoing a profound transformation. The graduate of 2021, equipped ...

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing ...

Overview Programming languages are in demand for cloud, mobile, analytics, and web development, as well as security. Online ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

As tools like large language models become ubiquitous in fields ranging from software engineering to data analysis, a fundamental question emerges regarding the long-term cost of our new-found efficie ...