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Evaluate AI models, prompts, and agents using AI Toolkit's comprehensive evaluation system. Import datasets, run evaluations with built-in evaluators like F1 score, relevance, coherence, and similarity, or create custom LLM-based and code-based evaluators. Visualize and compare results in tables and charts.

Learn how to fine-tune the Phi Silica model in Azure using a custom dataset, download the resulting LoRA adapter, and perform inference with the adapter.

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Learn how to create custom instructions for GitHub Copilot Chat in VS Code to ensure AI responses match your coding practices, project requirements, and development standards.

Learn how to customize chat in VS Code with custom instructions, reusable prompt files, and custom agents to align AI responses with your coding practices and project requirements.