practical llm engineering

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The Practical Llm Engineering Bible: Master GPT, Open-Source Models, Retrieval-Augmented Generation, Fine-Tuning, AI Agents, and Production Deployment for Business, Research, and Emerging Markets
The Practical Llm Engineering Bible: Master GPT, Open-Source Models, Retrieval-Augmented Generation, Fine-Tuning, AI Agents, and Production Deployment for Business, Research, and Emerging Markets
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LLM Engineering: A Practical Guide to Designing, Deploying, and Scaling Large Language Models for Real-World AI Applications
LLM Engineering: A Practical Guide to Designing, Deploying, and Scaling Large Language Models for Real-World AI Applications
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The Complete Agentic AI System Guide: Build, Deploy, and Scale LLM-Powered Autonomous Agents with Practical Engineering Patterns
The Complete Agentic AI System Guide: Build, Deploy, and Scale LLM-Powered Autonomous Agents with Practical Engineering Patterns
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LLM ENGINEERING MADE SIMPLE: Build Practical AI Applications Step by Step - No Coding Background Needed
LLM ENGINEERING MADE SIMPLE: Build Practical AI Applications Step by Step - No Coding Background Needed
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AI Context Engineering: The Secret Skill Behind Powerful LLM Applications: A Practical Guide to Designing Smarter Prompts, Memory, and Contexts for LLMs
AI Context Engineering: The Secret Skill Behind Powerful LLM Applications: A Practical Guide to Designing Smarter Prompts, Memory, and Contexts for LLMs
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The Ultimate AI Engineering Bible: Agentic AI · LLM Engineering · Python Engineering - A Practical Guide for Creating AI Agents that Learn, Adapt and Take Action
The Ultimate AI Engineering Bible: Agentic AI · LLM Engineering · Python Engineering - A Practical Guide for Creating AI Agents that Learn, Adapt and Take Action
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Practical LLM Engineering with Python: Build AI Agents, RAG Pipelines, MCP Servers, and Production AI Applications
Practical LLM Engineering with Python: Build AI Agents, RAG Pipelines, MCP Servers, and Production AI Applications
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Building A large language model with Ai: A Practical Guide to Structuring LLM Systems from Scratch Using Reverse-Engineering Techniques
Building A large language model with Ai: A Practical Guide to Structuring LLM Systems from Scratch Using Reverse-Engineering Techniques
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AgenticOps and LLM Lifecycle Management 2026: Practical Engineering Approaches for Versioning, FinOps, and Deployment of Autonomous Agent Pipelines in Enterprise Environments
AgenticOps and LLM Lifecycle Management 2026: Practical Engineering Approaches for Versioning, FinOps, and Deployment of Autonomous Agent Pipelines in Enterprise Environments
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The Agentic AI Handbook: The Practical Engineering Guide to Designing, Building, and Scaling Autonomous LLM Agents That Plan, Act, and Adapt
The Agentic AI Handbook: The Practical Engineering Guide to Designing, Building, and Scaling Autonomous LLM Agents That Plan, Act, and Adapt
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The Complete Agentic AI System Guide: Build, Deploy, and Scale LLM-Powered Autonomous Agents with Practical Engineering Patterns
The Complete Agentic AI System Guide: Build, Deploy, and Scale LLM-Powered Autonomous Agents with Practical Engineering Patterns
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Practical Generative AI Engineering with LangChain and LlamaIndex: Building Production-Ready LLM Applications and RAG Systems (The AI Architect Series)
Practical Generative AI Engineering with LangChain and LlamaIndex: Building Production-Ready LLM Applications and RAG Systems (The AI Architect Series)
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AgenticOps and LLM Lifecycle Management 2026: Practical Engineering Approaches for Versioning, FinOps, and Deployment of Autonomous Agent Pipelines in Enterprise Environments
AgenticOps and LLM Lifecycle Management 2026: Practical Engineering Approaches for Versioning, FinOps, and Deployment of Autonomous Agent Pipelines in Enterprise Environments
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Advanced Prompt Engineering Handbook: Practical Frameworks for Generative AI, LLM Optimization, Agentic Systems, and AI-Assisted Productivity with Production Best Practices
Advanced Prompt Engineering Handbook: Practical Frameworks for Generative AI, LLM Optimization, Agentic Systems, and AI-Assisted Productivity with Production Best Practices
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The LLM Top 10 Security Guide: Practical Code Examples and Defense Strategies (The AI Security & Hacking Bible: Protect and Exploit LLMs and Autonomous Agents)
The LLM Top 10 Security Guide: Practical Code Examples and Defense Strategies (The AI Security & Hacking Bible: Protect and Exploit LLMs and Autonomous Agents)
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Large Language Models Explained Handbook: A Practical Guide to Generative AI, Transformers, Prompt Engineering, RAG, Agentic Systems, and Real-World LLM Development with Production Best Practices
Large Language Models Explained Handbook: A Practical Guide to Generative AI, Transformers, Prompt Engineering, RAG, Agentic Systems, and Real-World LLM Development with Production Best Practices
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The LLM Top 10 Security Guide: Practical Code Examples and Defense Strategies (The AI Security & Hacking Bible: Protect and Exploit LLMs and Autonomous Agents)
The LLM Top 10 Security Guide: Practical Code Examples and Defense Strategies (The AI Security & Hacking Bible: Protect and Exploit LLMs and Autonomous Agents)
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Practical Patterns for LLM Pipelines: Six engineering patterns from the Gamma Corpus project
Practical Patterns for LLM Pipelines: Six engineering patterns from the Gamma Corpus project
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LLM Primer III Enhancing Enterprise AI with RAG: A Practical Guide to Building Retrieval-Augmented Generation Systems for the Enterprise
LLM Primer III Enhancing Enterprise AI with RAG: A Practical Guide to Building Retrieval-Augmented Generation Systems for the Enterprise
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Agentic AI Engineering with LLMs: Designing Multi-Agent Systems and Building LLM Applications That Reason, Plan, and Act in Real-World Environments | A Practical Guide to AI Agent System Design
Agentic AI Engineering with LLMs: Designing Multi-Agent Systems and Building LLM Applications That Reason, Plan, and Act in Real-World Environments | A Practical Guide to AI Agent System Design
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The LLM Engineering Bible [All-in-One]: Everything on How to Build, Deploy, and Scale Production-Ready AI Systems in 30 Days. Includes Practical and Updated LLM Use Cases Ideas and Expert Tips
The LLM Engineering Bible [All-in-One]: Everything on How to Build, Deploy, and Scale Production-Ready AI Systems in 30 Days. Includes Practical and Updated LLM Use Cases Ideas and Expert Tips
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AI Agents in Production: A Practical Guide to Building Reliable LLM-Powered Systems with Claude, GPT, and MCP (Production AI Engineering Series)
AI Agents in Production: A Practical Guide to Building Reliable LLM-Powered Systems with Claude, GPT, and MCP (Production AI Engineering Series)
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Fine Tuning LLM Practical Implementation and Adaptation: Domain Specific Model Training, Optimization Strategies, and Responsible Deployment: 3 (The Applied Agentic AI Engineering Series)
Fine Tuning LLM Practical Implementation and Adaptation: Domain Specific Model Training, Optimization Strategies, and Responsible Deployment: 3 (The Applied Agentic AI Engineering Series)
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Scaling LLM Agents: Distributed Cognition & Multi-Agent Ecosystems: A Practical Guide to Architecting Collaborative, Tool-Driven, and Self-Optimizing AI Systems: 2 (The Agentic AI Engineering Series)
Scaling LLM Agents: Distributed Cognition & Multi-Agent Ecosystems: A Practical Guide to Architecting Collaborative, Tool-Driven, and Self-Optimizing AI Systems: 2 (The Agentic AI Engineering Series)
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Fine Tuning LLM With Adaptive Language Models in 2026: Practical Techniques for Optimization, and Domain Specialization Workflow (Practical AI Systems Engineering Series)
Fine Tuning LLM With Adaptive Language Models in 2026: Practical Techniques for Optimization, and Domain Specialization Workflow (Practical AI Systems Engineering Series)
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Fine Tuning LLM Practical Implementation and Adaptation: Domain Specific Model Training, Optimization Strategies, and Responsible Deployment (The Applied Agentic AI Engineering Series)
Fine Tuning LLM Practical Implementation and Adaptation: Domain Specific Model Training, Optimization Strategies, and Responsible Deployment (The Applied Agentic AI Engineering Series)
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Fine Tuning LLM With Adaptive Language Models in 2026: Practical Techniques for Optimization, and Domain Specialization Workflow (Practical AI Systems Engineering Series)
Fine Tuning LLM With Adaptive Language Models in 2026: Practical Techniques for Optimization, and Domain Specialization Workflow (Practical AI Systems Engineering Series)
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Gemma 4 Developer Playbook: A Developer-Centered Guide to Google LLM Serving, Quantization, and Performance Tuning (The Practical LLM Engineering Library)
Gemma 4 Developer Playbook: A Developer-Centered Guide to Google LLM Serving, Quantization, and Performance Tuning (The Practical LLM Engineering Library)
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LLM ENGINEERING MADE SIMPLE: Build Practical AI Applications Step by Step - No Coding Background Needed
LLM ENGINEERING MADE SIMPLE: Build Practical AI Applications Step by Step - No Coding Background Needed
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LLM Engineering in Practice: Bridging Theory and Practical Application
LLM Engineering in Practice: Bridging Theory and Practical Application
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Go-Powered AI Automation: Building Scalable Intelligent Backend Systems A Practical Guide to APIs, Microservices, LLM Integration, and Workflow Automation in Go (GoLang (GO))
Go-Powered AI Automation: Building Scalable Intelligent Backend Systems A Practical Guide to APIs, Microservices, LLM Integration, and Workflow Automation in Go (GoLang (GO))
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PRACTICAL AI WORKFLOW ORCHESTRATION: Designing Autonomous Pipelines, LLM Chains, and Agentic Automation for Production (The Enterprise AI Architect’s Handbook)
PRACTICAL AI WORKFLOW ORCHESTRATION: Designing Autonomous Pipelines, LLM Chains, and Agentic Automation for Production (The Enterprise AI Architect’s Handbook)
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LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems
LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems
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The Practical Prompt Engineering Workbook for Generative AI: A Structured Logbook for Testing, Refining, and Optimizing LLM Inputs and Model Parameters
The Practical Prompt Engineering Workbook for Generative AI: A Structured Logbook for Testing, Refining, and Optimizing LLM Inputs and Model Parameters
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LLM Engineer's Handbook : Master the art of engineering large language models from concept to production
LLM Engineer's Handbook : Master the art of engineering large language models from concept to production
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Agentic AI Full-Stack Development: A Practical Guide to Building Autonomous AI Agents, LLM-Powered Applications, Tool-Using Systems, and End-to-End Intelligent Products Across the Modern Tech
Agentic AI Full-Stack Development: A Practical Guide to Building Autonomous AI Agents, LLM-Powered Applications, Tool-Using Systems, and End-to-End Intelligent Products Across the Modern Tech
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Prompt Engineering for LLMs : The Art and Science of Building Large Language Model-Based Applications
Prompt Engineering for LLMs : The Art and Science of Building Large Language Model-Based Applications
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Practical LLM Systems in Python: Build RAG Pipelines, Tool-Calling Agents, Guardrails, and Production Workflows
Practical LLM Systems in Python: Build RAG Pipelines, Tool-Calling Agents, Guardrails, and Production Workflows
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Build LLM Apps with Python RAG, Tools, Agents , From Prompting to Production: A Practical Guide + Workbook with Projects, Tests, Evaluation, and Guardrails
Build LLM Apps with Python RAG, Tools, Agents , From Prompting to Production: A Practical Guide + Workbook with Projects, Tests, Evaluation, and Guardrails
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Build LLM Apps with Python RAG, Tools, Agents , From Prompting to Production: A Practical Guide + Workbook with Projects, Tests, Evaluation, and Guardrails
Build LLM Apps with Python RAG, Tools, Agents , From Prompting to Production: A Practical Guide + Workbook with Projects, Tests, Evaluation, and Guardrails
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