The development of AI is producing multiple winners and losers among programming languages. The best-known languages in datasets regularly produce better, ...
Nearly two-thirds of Java users surveyed rely on Java for developing AI applications, with JavaML, Deep Java Library, and OpenCL being the most-used libraries.
Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
Thinking about diving into the world of programming languages? It can seem a bit much at first, right? Well, there’s a book ...
Build your Java skills from the ground up by working on simple tasks and beginner-friendly projects. Challenge yourself with more complex Java problems, including those focused on multithreading and ...
ChatGPT has quietly gained bash support and multi-language capabilities, enabling users to run commands and install packages in containers without official announcements.
This project is a step-by-step learning journey where we implement various types of Triton kernels—from the simplest examples to more advanced applications—while exploring GPU programming with Triton.
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.
It also includes automatic tuning, caching, and a Pythonic interface for ease of use. Tilus is pronounced as tie-lus, /ˈtaɪləs/. Tilus supports Ampere architecture, and we are actively working on the ...
Technological trends are often short-lived and have no lasting effect. New programming languages show up every year, promising faster builds and simpler syntax. Although many competitors have entered ...
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