According to the Microsoft Azure AI Fundamentals (AI-900) learning path and Microsoft Learn documentation on GitHub Copilot, GitHub Copilot is powered by OpenAI Codex, a specialized language model derived from the GPT-3 family but fine-tuned specifically on programming languages and code data.
OpenAI Codex was designed to translate natural language prompts into executable code in multiple programming languages, including JavaScript, Python, C#, TypeScript, and Go. It can understand comments, function names, and code structure to generate relevant code suggestions in real time.
When a developer writes client-side JavaScript, GitHub Copilot uses Codex to analyze the context of the file and generate intelligent suggestions, such as completing functions, writing boilerplate code, or suggesting improvements. Codex can also explain what specific code does and provide inline documentation, which enhances developer productivity.
Option A (GPT-4): While some newer versions of GitHub Copilot (Copilot X) may integrate GPT-4 for conversational explanations, the core code completion engine remains based on Codex, as per the AI-900-level content.
Option C (DALL-E): Used for image generation, not for programming tasks.
Option D (GPT-3): Codex was fine-tuned from GPT-3 but has been further trained specifically for code generation tasks.
Therefore, the verified and official answer from Microsoft’s AI-900 curriculum is B. Codex — the OpenAI model used by GitHub Copilot to make suggestions for client-side JavaScript and other programming languages.
