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22 lines
737 B
YAML
22 lines
737 B
YAML
id: openai/text-embedding-3-small
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canonical_slug: openai/text-embedding-3-small
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type: embedding
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hugging_face_id: null
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name: 'OpenAI: Text Embedding 3 Small'
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description: |-
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text-embedding-3-small is our improved, more performant version of our ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks.
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context_length: 16000
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max_dimension: 1536
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architecture:
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modality: text->text
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input_modalities:
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- text
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output_modalities:
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- text
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tokenizer: GPT
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pricing:
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prompt: '0.02'
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unit: 1000000
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currency: USD
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model_provider: OpenAI
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