SKU/Artículo: AMZ-B0GQGH4Q3N
Hands-On AI Engineering: Build Applications with Python, Transformers, Prompt, Foundation Models, LLMs, ML Pipelines, and System Building
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.30 kg
0.30 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Hands-On AI Engineering is a practical, code-first guide to building production-grade LLM systems, written by four practicing AI engineers. It focuses on what AI teams deal with every day: performance limits, reliability, evaluation, and cost control.You’ll learn how to design, build, and operate LLM systems that run efficiently, scale responsibly, and hold up under real users — without relying on expensive cloud credits or black-box APIs.What this book coversTraining and fine-tuning neural networks with PyTorchFine-tuning transformers using LoRA and QLoRA on consumer hardwareBuilding robust RAG pipelines: chunking strategies, hybrid retrieval, ranking, and faithfulness checksDeploying models with FastAPIEvaluating systems properly: rubrics, LLM-as-a-judge, golden datasets, regression testing, benchmarkingMonitoring, failure handling, and cost–performance trade-offsDocumenting architectures and decisions so teams can trust and extend your work Performance add-ons (last chapter)A free companion GitHub repository, carefully sequenced projects you can follow along with and build yourself.Project 1 - Simple Companion Chat: Basic chatbot built around a single document.Project 2 - Personal Knowledge Q&A: Ask questions over your own files with grounded answers.Project 3 - Checked Q&A System: Compare AI answers against expected results.Project 4 - Conversational Agent: Multi-turn chat with memory and simple tools.Project 5 - Document Summarizer: Controlled summaries with basic quality checks.Project 6 - Chapter Explorer: Turn text into outlines and short quizzes.This book gives you the engineering mindset needed to move from experiments to dependable systems.The projects are designed to reflect real-world workflows which you can discuss confidently in interviews and use to stand out as an AI engineer. Use wisely.
AR$123.948
44% OFF
AR$68.863
IMPORT EASILY
By purchasing this product you can deduct VAT with your RUT number
AR$123.948
44% OFF
AR$68.863
10% OFF con cupon ANIVERSARIO10
Pagá fácil y rápido con Mercado Pago o MODO
Llega en 8 a 12 días hábiles
con envío
Tienes garantía de entrega
Este producto viaja
de USA ![]()
a tus manos en
![]()
a tus manos en
Compra protegida
Disfruta de una experiencia de compra segura y confiable
Tarjetas de Crédito y Débito
Visa
Mastercard
American Express
Pagos a través de PayPal
Compra procesada en dólares con dinero en cuenta o tarjetas internacionales.
Paypal
Pagos a través de MODO
Compra procesada en pesos desde la App de tu banco.
PayPal
