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Results for “Retrieval-Augmented Generation (RAG)”
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Context Window

The amount of tokenized input and generated text a model can consider within one inference context.

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Embedding

A numerical vector representation used to encode semantic or structural properties of data.

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Fine-tuning

Additional training that adapts a pre-trained model to a narrower task, domain, or behavior.

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Hallucination in AI

A generated statement that is unsupported, fabricated, or inconsistent with the available evidence or context.

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Large Language Model (LLM)

A general-purpose language model trained on large datasets and usually built at substantial scale.

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Retrieval-Augmented Generation (RAG)

A method that retrieves external information and supplies it to a generative model as context.

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Vector Search

Search that retrieves items by similarity between numerical vector representations.