14 lines
566 B
Markdown
14 lines
566 B
Markdown
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# Embedding
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Embedding can be understood simply as follows: there is an algorithm (or model) that can map high-dimensional data to a low-dimensional vector space. This mapping process is essentially a process of feature extraction.
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> Low-dimensional vector data can reduce the complexity of data, thereby improving the efficiency of model training and inference.
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## Samples
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```java
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Llm llm = OpenAILlm.of("sk-rts5NF6n*******");
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VectorData embeddings = llm.embed(Document.of("some document text"));
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System.out.println(Arrays.toString(embeddings.getVector()));
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```
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