Generative AI | News, how-tos, features, reviews, and videos
A six-step framework for building a production-ready AI agent that handles those repetitive tasks you don’t want your IT team spending their days on.
ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.
Think of continuous batching as the LLM world’s turbocharger — keeping GPUs busy nonstop and cranking out results up to 20x faster.
The explosion of AI tools means fewer programming jobs and more competition. Here’s why experts say some programming certifications are still worth your time.
Developers aren’t waiting while leadership dithers over a standardized, official AI platform. Better to treat a platform as a set of services or composable APIs to guide developer innovation.
With Sky, OpenAI aims to automate workflows across macOS apps, joining rivals Anthropic and Google in the race to bring agentic AI to everyday computing.
Monarch framework, currently experimental, allows Python programmers to program distributed systems as if they were just one machine.
Developers reported increased productivity, faster completion of regular tasks, and less time spent searching for information as the top benefits of using AI tools.
Generative AI tools are putting a new spin on the age-old chore of writing and consuming technical documentation. The key is knowing your audience, your purpose, and which tools to use for the job.
This AI-first innovation challenges the big three cloud providers and creates new opportunities for enterprises. Naturally, there are trade-offs.