How deeply does LLMs in Production cover privacy?

Explains the deployment trade-off through scenarios but does not specify privacy controls or a secure deployment procedure.

Privacy

As explained in LLMs in Production

The protection of data from unauthorized access, disclosure, misuse, or loss while respecting requirements governing personal information.

Suppose an LLM assistant needs access to sensitive maintenance manuals. Uploading those manuals to another company may be unacceptable, even if the service is convenient. Fine-tuning and running a model locally is an alternative when the information must remain private. section 1.2.2

The same constraint can keep a police analytics team from using a hosted assistant for its most valuable work: the data and conversations are too sensitive to expose. Privacy is therefore a build-versus-buy question, not just a feature to consider after choosing a model. Local deployment still calls for a safe, secure setup; building your own model does not settle that work by itself. section 1.2.2

How LLMs in Production covers it

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Also explained in

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Data for AllThe safeguarding of information about people against unauthorized collection, access, use, disclosure, or retention.
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First-Party Data ActivationSafeguards that prevent improper collection, use, disclosure, or exposure of personal information.
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The Art of AI Product DevelopmentPrivacy is the protection of individuals' or organizations' sensitive information from unauthorized collection, disclosure, or use.
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Introduction to Generative AI, Second EditionPrivacy is the protection of people and their information from unwanted observation, collection, use, or disclosure.
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Effective Data AnalysisPrivacy is the ability of people to control access to information about themselves and how that information is collected or used.
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Build AI-Enhanced Web AppsData privacy is the protection and proper governance of information about identifiable people, including how it is collected, stored, processed, and deleted.
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Delivering Machine Learning Projects: From design to deploymentData privacy is the protection and governance of information about people, including how it is collected, accessed, used, and disclosed.
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Generative AI in ActionPrivacy is the protection of personal or confidential information from inappropriate collection, access, use, or disclosure.
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Machine Learning System DesignThe protection of information about individuals or entities from unauthorized collection, use, disclosure, or inference.
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Starting Data Analytics with Generative AI and PythonThe protection and proper governance of information about identifiable people during its collection, processing, storage, and disclosure.
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Building Reliable AI SystemsThe protection of information about people from inappropriate collection, access, use, or disclosure.
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Authorization in ActionPrivacy, or information privacy, is the ability of individuals to control or limit the collection, access, sharing, and use of information about them.
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Software Testing with Generative AICustomer privacy is the protection of information and confidentiality associated with people who use or receive a service.
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Machine Learning Platform EngineeringThe protection of information about individuals or sensitive entities from inappropriate disclosure or use.
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AI for Everyday ITPrivacy is the protection of individuals' or organizations' information and control over how it is collected, accessed, and used.
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AI-Powered SearchPrivacy is the protection of information about a person from unauthorized access, use, or disclosure.
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Effective Conversational AIPrivacy is the protection and appropriate handling of information about identifiable individuals.
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Build Applications with Local AI Models on a MacPrivacy is the protection of a person's information from unauthorized collection, retention, use, or disclosure.
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Data Without LabelsThe protection of individuals' or organizations' information from unauthorized access, use, or disclosure.
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Financial AI in PracticeThe protection of personal information through appropriate controls on its collection, use, sharing, retention, and access.

Compare how 21 books explain privacy →

Related concepts

local aipart of · Local AI is artificial-intelligence computation performed by a model on a user's device or other locally controlled infrastructure rather than through a remote service.
GDPRconfigured by · The General Data Protection Regulation (GDPR) is a European Union regulation governing the processing of personal data and protecting individuals’ rights concerning that data.
self-hostingaddressed by · Self-hosting is deploying and operating software or services on computing infrastructure controlled or managed by the user or organization.
transparencycontrasts with · Transparency is the degree to which underlying content is visible through an element or relevant information, processes, and decisions are accessible and understandable to observers.
utility functioncontrasts with · A utility function maps outcomes or alternatives to numerical values representing their desirability or preference for a decision maker or objective.

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