snapshot of https://github.com/shadcn-ui/ui.git (main, 2026-09-15; blobs > 131072B omitted)
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62
apps/v4/app/(app)/examples/playground/data/models.ts
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62
apps/v4/app/(app)/examples/playground/data/models.ts
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export const types = ["GPT-3", "Codex"] as const
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export type ModelType = (typeof types)[number]
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export interface Model<Type = string> {
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id: string
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name: string
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description: string
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strengths?: string
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type: Type
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}
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export const models: Model<ModelType>[] = [
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{
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id: "c305f976-8e38-42b1-9fb7-d21b2e34f0da",
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name: "text-davinci-003",
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description:
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"Most capable GPT-3 model. Can do any task the other models can do, often with higher quality, longer output and better instruction-following. Also supports inserting completions within text.",
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type: "GPT-3",
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strengths:
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"Complex intent, cause and effect, creative generation, search, summarization for audience",
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},
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{
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id: "464a47c3-7ab5-44d7-b669-f9cb5a9e8465",
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name: "text-curie-001",
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description: "Very capable, but faster and lower cost than Davinci.",
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type: "GPT-3",
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strengths:
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"Language translation, complex classification, sentiment, summarization",
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},
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{
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id: "ac0797b0-7e31-43b6-a494-da7e2ab43445",
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name: "text-babbage-001",
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description: "Capable of straightforward tasks, very fast, and lower cost.",
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type: "GPT-3",
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strengths: "Moderate classification, semantic search",
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},
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{
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id: "be638fb1-973b-4471-a49c-290325085802",
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name: "text-ada-001",
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description:
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"Capable of very simple tasks, usually the fastest model in the GPT-3 series, and lowest cost.",
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type: "GPT-3",
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strengths:
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"Parsing text, simple classification, address correction, keywords",
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},
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{
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id: "b43c0ea9-5ad4-456a-ae29-26cd77b6d0fb",
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name: "code-davinci-002",
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description:
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"Most capable Codex model. Particularly good at translating natural language to code. In addition to completing code, also supports inserting completions within code.",
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type: "Codex",
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},
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{
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id: "bbd57291-4622-4a21-9eed-dd6bd786fdd1",
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name: "code-cushman-001",
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description:
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"Almost as capable as Davinci Codex, but slightly faster. This speed advantage may make it preferable for real-time applications.",
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type: "Codex",
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strengths: "Real-time application where low-latency is preferable",
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},
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]
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