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New Book Guides Architects on Building Reliable Agentic AI Systems

By PulseAugur Editorial · [1 sources] ·

Ediz Najim's new book, "Systems Thinking for Agentic AI: A Software Architect’s Guide to Building Reliable LLM and Agent Systems," is now available on Leanpub. The book aims to guide software engineers and architects in creating dependable AI applications by covering essential components such as prompts, Retrieval-Augmented Generation (RAG), tools, memory, orchestration, guardrails, evaluation, observability, and runtime control. Najim emphasizes that a Large Language Model (LLM) is not a complete AI system on its own. AI

IMPACT Provides practical guidance for software engineers and architects on designing and building reliable agentic AI systems.

RANK_REASON The cluster describes the release of a book offering guidance on building AI systems, which falls under the 'tool' category for practical application.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Book Guides Architects on Building Reliable Agentic AI Systems

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The cluster describes the release of a book offering guidance on building AI systems, which falls under the 'tool' category for practical application.
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · leanpub ·

    Systems Thinking for Agentic AI: A Software Architect’s Guide to Building Reliable LLM and Agent Systems by Ediz Najim 📖 on Leanpub! An LLM is not an AI system.

    Systems Thinking for Agentic AI: A Software Architect’s Guide to Building Reliable LLM and Agent Systems by Ediz Najim 📖 on Leanpub! An LLM is not an AI system. Systems Thinking for Agentic AI shows software engineers and architects how to design reliable AI applications with pro…

    LINKS leanpub.com/staai

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