How deeply does Building Reliable AI Systems cover continuous improvement?

Frames the feedback loop and names update mechanisms without explaining their procedures.

Continuous improvement

As explained in Building Reliable AI Systems

An ongoing process of using system information to make iterative changes that improve performance or quality.

Production LLM systems can run smoothly while giving subtly wrong answers, behaving inconsistently, or leaking sensitive information. Continuous improvement closes the feedback loop: monitoring insights guide changes that maintain quality and reliability. section 10.1

Use monitoring data to guide:

A/B testing section 10.1
Prompt optimization section 10.1
Model updates section 10.1

How Building Reliable AI Systems covers it

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Effective Platform EngineeringAn iterative development cycle is a repeated, bounded period in which a team plans, builds, evaluates, and improves a software increment.
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Shipping Go: Develop, deliver, discuss, design, and go againA feedback cycle is a recurring process in which outcomes or evaluations inform corrective action and subsequent improvement.
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Collaborative Software Design: How to facilitate domain modeling decisionsA cycle in which information about outcomes or requirements feeds back into subsequent decisions or actions.
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Sutskever's ListA recurrent feedback loop feeds information from a previous time step back into a neural network's computation at the current step.
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AI-Powered SearchIterative refinement is the progressive improvement of a task result through successive revisions based on new information or feedback.
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Generative AI in ActionA development method that repeatedly evaluates outcomes and refines a system through successive cycles.
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Lead Developer Career GuideA recurring process in which information about results or progress is returned to guide subsequent decisions or actions.
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Bootstrapping Microservices, Second Edition: With Docker, Kubernetes, GitHub Actions, and TerraformA development cycle consisting of a small code change followed by evaluation and possible correction.
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Effective Conversational AIA feedback loop is a process in which observed results or user information are fed back into a system to refine its behavior.
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Machine Learning System DesignA feedback loop is a pattern in which a model or system affects the data-generating process that later supplies its inputs or labels.
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Optimization Algorithms: AI techniques for design, planning, and control problemsA closed-loop system is a control system that measures its output and uses feedback to adjust its input toward a desired value.
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Build AI-Enhanced Web AppsSelf-refine is a technique in which a language model generates an output, critiques it with self-provided feedback, and iteratively revises it without additional training.
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First-Party Data ActivationA process in which outputs or results are fed back into subsequent decisions or actions to influence later outcomes.
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AI Agents in Action, Second EditionAn iterative improvement process in which an output is revised or enhanced across successive iterations.
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Data-Driven CybersecurityA feedback loop is an iterative process in which outputs or observations inform subsequent adjustments to a system or process.
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AI-Powered Developer: Build software with ChatGPT and CopilotA feedback loop is an iterative interaction in which prior context and user reactions influence subsequent inputs and outputs.
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The Well-Grounded Rubyist, Fourth EditionIteration is a technique in which a method call is supplemented with code that the method can invoke during its execution.
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Build an AI Agent (From Scratch)A reasoning process that repeatedly evaluates intermediate results and determines subsequent steps.
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Architecture Modernization: Socio-technical alignment of software, strategy, and structureIterative development is an approach that delivers a product or capability through repeated cycles of implementation, feedback, and refinement.
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Build Python Web Apps with StreamlitIterative development is a software-development technique that repeatedly cycles through implementation, testing, evaluation, and revision.
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Natural Language Processing in Action, Second EditionA cyclic processing pattern in which system outputs are fed back as inputs for further analysis.
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Experimentation for EngineersA feedback loop is a cycle in which a system’s outputs influence subsequent inputs, behavior, or observations.
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Grokking AI Algorithms, Second EditionA feedback loop is a recurring process in which the consequences of actions provide signals that influence subsequent actions or behavior.
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Advanced Algorithms and Data StructuresAn iteration is one repetition of an algorithmic cycle or update sequence.

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Related concepts

AI agentused by · An AI agent is a computational system that uses artificial intelligence to interpret information, select actions, and pursue goals through interaction with an environment.
refactoringcontrasts with · Refactoring is the restructuring of existing software or code to change its internal organization and improve its design, typically while preserving externally observable behavior.
agile software developmentused by · Agile software development is an iterative approach that delivers software incrementally through collaboration, feedback, adaptive planning, and responsiveness to change.

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