Introducing the v0 composite model family
Vercel launched a new composite model architecture for v0 that combines retrieval-augmented generation, large language model reasoning, and custom post-processing to improve code generation quality and maintainability across model upgrades.
We recently launched our AI models , , and in . Today, we're sharing a deep dive into the composite model architecture behind those models. They combine specialized knowledge from retrieval-augmented generation (RAG), reasoning from state-of-the-art large language models (LLMs), and error fixing from a custom streaming post-processing model.v0-1.5-mdv0-1.5-lgv0-1.0-mdv0
While this may sound complex, it enables v0 to achieve significantly higher quality when generating code. Further, as base models improve, we can quickly upgrade to the latest frontier model while keeping the rest of the architecture stable.
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