Explore how to use Docker and LLMs to streamline workflows for command-line tools to enhance the process of reading docs, troubleshooting errors, and running commands.
ai/ml
Secure by Design for AI: Building Resilient Systems from the Ground Up
Dive into the “Secure by Design” approach essential for AI systems, focusing on embedding security features from the start to fortify AI against emerging threats.
Getting Started with the Labs AI Tools for Devs Docker Desktop Extension
Explore the Labs AI Tools for Devs extension in Docker Desktop, designed for prompt authors to easily build, run, and share their AI tools. Get started quickly with our guide to installing the extension and running your first prompts.
Docker Desktop 4.34: MSI Installer GA, Upgraded Host Networking, and Powerful Enhancements for Boosted Productivity & Administration
Discover Docker Desktop 4.34’s enhancements that boost security, scalability, and productivity for developers. This release includes a readily available MSI installer for simpler Windows deployment, improved authentication processes, smart storage compaction for WSL2, and seamless NVIDIA AI Workbench integration for streamlined model training and local development.
Optimizing AI Application Development with Docker Desktop and NVIDIA AI Workbench
Learn about Docker’s collaboration with NVIDIA, which enhances your ability to leverage Docker containers and improves your overall experience of building and developing AI/ML applications.
How to Fix ESLint Violations with AI Assistance
Learn how to use GenAI to fix ESLint violations, without installing Node.
Adding the ESLint Tool to an AI Assistant: Improving Recommendations for JS/TS Projects
We show how to enable our AI assistant to provide advice that is both helpful and actionable for linting JavaScript and TypeScript projects.
How to Create Dockerfiles with GenAI
We explore how to use an AI assistant to generate Dockerfiles for specific projects.
Local LLM Messenger: Chat with GenAI on Your iPhone
Learn about the LoLLM Messenger project — a winner of the AI/ML Hackathon — which allows you to send iMessages to GenAI models running directly on your computer.