Find answers to frequently asked questions (FAQ) using AI Toolkit. Get troubleshooting recommendations.

Develop and test AI apps with AI Toolkit for Visual Studio Code. Inference test, batch run, evaluate, fine-tune and deploy LLMs and SLMs.

Find a popular generative AI model by publisher and source. Bring your own model that is hosted with a URL, or select an Ollama model.

Choose your AI model. Copilot offers different AI models to choose from. Some models are optimized for fast coding tasks, while others are better suited for slower planning and reasoning tasks.

Feb 12, 2025 · In this post, we're going to dive into Next Edit Suggestions and take a look at the next evolution of AI-powered code completions in your editor. Next Edit Suggestions (NES) GitHub Copilot code completions - which are also called ghost text - …

Use Copilot's LLM: use the Language Model API and the VS Code extension APIs to build custom AI-powered features into your extension and enhance editor-specific interactions. Alternatively, you can also build a Copilot Extension, implemented as a GitHub App with additional capabilities.

GitHub Copilot in VS Code settings reference. This article lists the configuration settings for GitHub Copilot in Visual Studio Code. For general information about working with settings in VS Code, refer to User and workspace settings, as well as the Variables reference for information about predefined variable support.

Learn how to choose between different AI language models and how to use your own language model API key in Visual Studio Code.

Interact with GitHub Copilot through AI-powered chat conversations in VS Code to generate code, increase your code understanding, and even configure your editor.

The AI Toolkit playground enables you to interact with your AI models and try different prompts with different model parameter settings. You can also use the playground to interact with multi-modal models that support attachment of different input formats.