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190 articles
Learn how AWS's Pizza Bot, built on DeepAgents and LangGraph, enables scalable and secure AI agent deployment with persistent state, multi-model support, and configurable workflows.
Learn how to set up and use Mistral AI's open-source language models with Python. This tutorial teaches you to load models, prepare prompts, and generate text responses using the Hugging Face Transformers library.
Learn about MiniCPM5-2B, a new AI language model that's both powerful and accessible, designed to run on regular devices for everyday use.
Learn about K2 Horizon, a collection of six open-source large language models from 0.9B to 375B parameters, and how they're making advanced AI more accessible to researchers and developers.
This explainer explores Anthropic's Claude Commerce Agents, a reusable blueprint for building AI shopping and merchant agents across industries. Learn how this open-source framework streamlines agent development using standardized components like agent loops, tool layers, and approval gates.
Learn how to access and use Hugging Face's open-source AI models and datasets for natural language processing tasks like sentiment analysis and translation.
This article explains the significance of the Nvidia-Hugging Face acquisition and how AI model hubs are reshaping the artificial intelligence landscape.
OpenClaw 2.0 introduces advanced architectural improvements for AI deployment, including optimized UI startup times, enhanced security through trust boundaries, and streamlined model setup processes.
stillOS offers one of the best Linux onboarding experiences I've ever seen, making the operating system more accessible to users of all technical levels.
Hugging Face launches Microduck, a $399 open-source robot designed for reinforcement learning education.
As Windows dominance continues, Linux alternatives like Ubuntu, Manjaro, and openSUSE offer compelling options for users seeking privacy, security, and customization in 2026.
Learn how Nvidia's $12.9 billion acquisition of Hugging Face reflects the ongoing debate between open and closed AI development, and why sharing AI tools matters for the future of technology.
