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Edité par Independently published, 2026
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Edité par Independently Published Aug 2026, 2026
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Taschenbuch. Etat : Neu. Neuware - Build smarter AI applications from the ground up.Large Language Models are transforming software development, but knowing how to use an LLM API is only the beginning. Building reliable, intelligent, production-ready AI applications requires a deeper understanding of retrieval, agents, workflows…, tools, evaluation, security, and deployment.LLM APPLICATION ENGINEERING provides a practical introduction to designing and building modern LLM-powered applications with technologies such as LangChain and LangGraph.Inside, you'll learn how to: Understand the foundations of LLM application engineeringBuild Retrieval-Augmented Generation (RAG) systemsWork with embeddings and vector databasesCreate AI agents and agentic workflowsBuild stateful workflows with LangGraphDesign multi-agent AI systemsImplement human-in-the-loop applicationsEvaluate LLM applications and improve reliabilityHandle errors, hallucinations, and unexpected behaviorApply security and responsible AI principlesOptimize AI applications for cost, speed, and performanceDeploy and monitor applications in productionBuild practical AI projects, including research assistants, knowledge assistants, autonomous agents, and multi-agent workflowsMove an AI prototype toward a production-ready solutionWhether you're exploring LLM development for the first time or looking to strengthen your understanding of modern AI application architecture, this book focuses on the concepts and patterns that can help you turn powerful language models into useful software systems.Learn the architecture. Build the workflow. Connect the tools. Create intelligent applications.
