How deeply does The Art of AI Product Development cover fidelity?

Defines groundedness and applies it as an evaluation criterion, without specifying a scoring scale.

Fidelity

As explained in The Art of AI Product Development

Groundedness is the degree to which generated content is supported by the information retrieved or provided as evidence.

Groundedness checks whether generated content is supported by retrieved documents. In retrieval-augmented generation (RAG), unsupported speculation or hallucination signals that the model should rely more tightly on its provided sources. section 7.3.2 section 7.4

Evaluating a generated report

For a report on AI trends in SaaS, assess whether its claims are based on retrieved documents. Separately, a short blog-style response to a request for detailed analysis may be grounded but still fail to answer the query adequately. section 7.3.2

How The Art of AI Product Development covers it

Cover of The Art of AI Product Development

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Also explained in

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Effective Conversational AIFaithfulness is a generation metric measuring whether an answer is factually supported by the retrieved context.
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Essential GraphRAGFaithfulness is a metric that measures whether a generated answer is supported by the retrieved context without introducing unsupported information.
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Generative AI in ActionGroundedness is the degree to which an AI output conforms to the information in its sources rather than speculation or fabrication.

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Related concepts

Ragasused by · Ragas is an open-source framework and Python library for evaluating retrieval-augmented generation systems and applications.
accuracycontrasts with · Accuracy is the degree to which an output, prediction, or measurement agrees with a correct or reference outcome under a specified criterion.
hallucinationmeasures · A hallucination is model-generated content that is false, fabricated, or unsupported by relevant evidence but presented as plausible or factual.
retrieved documentmeasures · A retrieved document is information selected by an information-retrieval process from a source and supplied as context or evidence for a query or task.

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.