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New book guides engineers 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," published on Leanpub, aims to guide software engineers and architects in creating dependable AI applications. The book emphasizes that a Large Language Model (LLM) is not a complete AI system on its own. It covers essential components for building robust AI systems, including prompt engineering, Retrieval-Augmented Generation (RAG), tool integration, memory management, orchestration, guardrails, evaluation, observability, and runtime control. AI

IMPACT Provides practical guidance for software engineers and architects on designing and building reliable AI applications beyond just LLMs.

RANK_REASON The item describes a book release that provides practical guidance for software engineers on building AI systems.

Read on Mastodon — mastodon.social →

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

New book guides engineers on building reliable agentic AI systems

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The item describes a book release that provides practical guidance for software engineers on building AI systems.
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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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