Machine Learning | News, how-tos, features, reviews, and videos
For software developers today, staying competitive means embracing AI technologies. Here’s how some developers are staying ahead of the curve.
As genAI takes hold in the enterprise, improvisation is giving way to engineering. Can organizations build the guardrails needed to turn clever prompts into dependable systems?
Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data sets.
Is it reasonable to develop and deploy AI agents without a continuous testing strategy? Consider these test-driven approaches to ensure the release readiness of AI agents.
Unlock the power of AI and machine learning without ever leaving the JavaScript sandbox. Big names include TensorFlow.js, LangChain, and Angular, but we’ve found a few smaller gems, too.
Noname API security optimized for greater performance and lower business costs with 3rd Gen Intel® Xeon® Scalable processors.
Microsoft is working with Anyscale to help you build, train, and run your own ML models with PyTorch on AKS.
Generative AI models can carry on conversations, answer questions, write stories, produce source code, and create images and videos of almost any description. Here's how generative AI works, how it's being used, and why it’s more limited than you might think.
Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what you need to know about using Java, Rust, Go, or C#/.Net for AI/ML.
The strongly-typed language recently overtook both JavaScript and Python as the most used language on GitHub, with the rise is attributed to demand for AI-assisted development.
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.
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.
Monarch framework, currently experimental, allows Python programmers to program distributed systems as if they were just one machine.
AI agents trained on their own experiences have the potential to revolutionize operations. Practical applications are already emerging.