-Copilot Edits leverages a dual-model architecture to enhance editing efficiency and accuracy. First, a foundation language model considers a full context of the Edits session to generate initial edit suggestions. You can choose the foundation language model that you prefer between: GPT-4o, o1-preview, o1-mini, Claude 3.5 Sonnet, and Gemini 1.5 Pro. For a performant experience, the team developed a speculative decoding endpoint, optimized for fast application of changes in files. The proposed edits from the foundation model are sent to the speculative decoding one, resulting in a smooth user experience. The speculative decoding endpoint is faster than a regular model, but the team knows it can be even faster and is working on improving this, so stay tuned.
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