Llm Engineer

Packt Publishing

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Independently published

The Practical LLM Engineer: Hands‑On Guide to LLMOps, Inference Optimization & Security

Independently published

The LLM Engineer's Toolkit: Build, Train, and Deploy GPT-Style Language Models from Scratch Using Python, Transformers and PyTorch

The LLM Engineer’s Toolkit: Design Patterns, Prompting Strategies, and Secure AI Workflows for Real-World Applications (English Edition)

TechStack

LLM Engineer's Guide: Master Large Language Model Engineering from Concept to Deployment (New-Gen AI Engineering Book 1) (English Edition)

The LLM Engineer's Playbook: Mastering the Development of Large Language Models for Real-World Applications (English Edition)

The Complete LLM Engineer's Handbook: From Conceptualization to Production of Large Language Models (English Edition)

Independently published

Production-Ready LLMs: The Engineer's Playbook for Deploying Robust, Scalable, and Cost-Effective Generative AI Systems using RAG, Fine-Tuning, and Agentic Architectures

LLM Engineering : A Practical Guide to Designing, Deploying, and Scaling Large Language Models for Real-World AI Applications (English Edition)

Independently published

Building LLM Workflows: Engineer Scalable AI Systems Using LangChain, LangGraph, RAG, and OpenAI Tools.