How deeply does Generative AI in Action cover deduplication?

Places deduplication within a preprocessing pipeline but does not specify matching algorithms, thresholds, or implementation details.

Deduplication

As explained in Generative AI in Action

Deduplication is the process of identifying and removing duplicate data records or content.

Deduplication identifies and removes duplicate records or content during data preprocessing. It improves dataset quality before data reaches large language model applications, processing engines, or analytical platforms. section 10.4.1

Apply deduplication as part of an enterprise data-preparation architecture:

Place it alongside normalization and error rectification in the cleansing and standardization pipeline. section 10.4.1
Automate the task with integrated data-quality tools so downstream LLM datasets remain reliable. section 10.4.1

How Generative AI in Action covers it

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Also explained in

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The Well-Grounded Data AnalystDeduplication is the process of identifying and handling multiple records that represent the same underlying entity.
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Fabulous Adventures in Data Structures and AlgorithmsDeduplication is the elimination of duplicate representations by sharing one representation for identical data.
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Architecting an Apache Iceberg LakehouseDeduplication is the removal or suppression of repeated records or events representing the same logical occurrence.
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Delivering Machine Learning Projects: From design to deploymentDeduplication is the process of identifying and removing redundant records that represent the same underlying entity or event.

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Related concepts

entity resolutionused by · Entity resolution is the process of determining which records or mentions refer to the same real-world entity despite differences in their representations.
exactly-once deliveryaddresses · Exactly-once delivery is a messaging or processing guarantee that each message or input produces its intended effect once, without loss or duplicate effects, despite retries or failures.
spamaddresses · Spam is unsolicited or unwanted electronic messaging or content, often distributed in bulk and commonly commercial, deceptive, irrelevant, or malicious.
filteringpart of · Filtering is the operation of selecting or excluding items from data or a collection according to specified criteria.
training datasetuses · A collection of examples or observations supplied to a learning procedure to fit or adapt a model or learn its patterns or parameters.

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