JavaScript seems to be disabled in your browser. For the best experience on our site, be sure to turn on Javascript in your browser.

Artículo: AMZ-B0G1YFWQ4L

GENERATIVE AI PROJECTS WITH PYTHON: 10 Hands-On, End-to-End Applications to Master LLM Development using Streamlit, OpenAI, and Open-Source Models

Format:

Paperback

Hardcover

Kindle

Paperback

Detalles del producto

Disponibilidad
En stock

Peso con empaque
0.43 kg

Devolución
Sí

Condición
Nuevo

Producto de
Amazon

Viaja desde
USA

Sobre este producto

Generative AI Projects with PythonStop collecting theoretical notebooks and start building a portfolio that lands the job. The fastest way to master GenAI is through completed, end-to-end applications. You know Python. You understand what a Large Language Model is. But getting past simple demos, to actually building a reliable, professional-grade application that handles user input, remembers conversation history, uses a database, and runs in a browser, is the biggest hurdle facing developers today. Most tutorials stop just before the hard parts: deployment, structured output, and integrating external data. This book solves that problem. Generative AI Projects with Python is the definitive hands-on workbench, providing the complete, end-to-end code for 10 fully functional applications. You won't just learn theory; you will build a sophisticated portfolio of projects that showcase your mastery of the entire GenAI stack, from the first line of code to the final, interactive Streamlit front-end.10 Projects to Build, Master, and DeployThis guide is structured as a laboratory, where each chapter is a new, complete application. You'll move beyond simple chatbots and into advanced topics like planning, vector search, and model serving.Inside, you will:Master the App Layer with Streamlit: Instantly create beautiful, interactive UIs for every project, allowing you to showcase LLM output, handle user uploads, and manage state without needing complex web frameworks.Architect RAG from Scratch: Build a Document Q&A application using vector search (RAG) to ground models in your private data, making them accurate and reducing hallucinations.Implement Advanced Tooling: Develop a Natural Language to SQL Assistant and a foundational Self-Correcting Agent to teach models how to use external tools and reason through multi-step tasks.Code Analysis and Debugging: Create a powerful Code Explainer service using FastAPI to securely host model inference, making it easy to integrate into larger software systems.Handle Real-World Data: Build applications for Multilingual Translation, Sentiment-Aware Classification, and Automated Transcript Analysis, mastering the techniques for handling large and complex data inputs.Transition to MLOps: Take one of your applications and deploy it to a serverless cloud environment, setting up critical Cost Monitoring and model versioning to ensure it runs reliably and affordably.The Practical Path to Generative AI Mastery This book is engineered for developers, data scientists, and engineers who are ready to build. By the time you finish the final project, you will have the confidence, the code, and the portfolio required to land your next role in Generative AI.If you are ready to stop reading about GenAI and start building the future, click "Buy Now" and get started on Project 1 today.

$36,90

31% OFF

$25,45

$36,90

31% OFF

$25,45

Envío gratis

Llega en 5 a 12 días hábiles

Con envío

Tienes garantia de entrega

Medios de pago

Cantidad

Este producto viaja de USA

a tus manos en

Medios de pago

Tarjetas de Débito, Crédito y Deuna