SKU/Artículo: AMZ-B0G4KBPG1G

Mastering Fine Tuning LLM Agents: The Complete Engineer’s Guide to Custom Model Optimization, High-Performance Training Pipelines, and Real-World Deployment

Format:

Paperback

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.35 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • Mastering Fine-Tuning LLM Agents is a comprehensive engineering handbook for building next-generation AI agents powered by customized, fine-tuned large language models. This book is designed for AI engineers, data scientists, automation architects, and technical innovators who want to move beyond generic LLM usage and build highly specialized, domain-aligned, production-ready agents. This definitive guide breaks down the full lifecycle of creating fine-tuned LLM agents from dataset engineering and supervised instruction training to alignment tuning, evaluation, and deployment across modern compute infrastructures. Through clear explanations and real-world examples, you will learn how to design custom model behaviors, optimize performance, incorporate tool-use, build agent reasoning loops, and integrate models into scalable pipelines. You’ll explore advanced techniques including LoRA/QLoRA parameter-efficient training, RAG-augmented agents, function-calling optimization, prompt-to-policy distillation, reinforcement learning for agents, and modular architectures combining LLMs, vector databases, schedulers, orchestrators, and external tools. The book also covers safety strategies, memory frameworks, multi-agent systems, and evaluation methods for reliability, factuality, and task success. Whether you’re building research copilots, workflow automation systems, analytics agents, customer-service AI, or enterprise-grade agentic platforms, Mastering Fine-Tuning LLM Agents provides a complete blueprint to design, customize, optimize, and deploy powerful AI agents tailored to your domain and objectives. This is the book for engineers who want to understand and control how AI agents think, reason, act, and improve at a professional, production-ready level.
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AR$69.572
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