Shubham Ranjan – författare

Boost your web developer potential and stay ahead in the fast-paced web development and AI race with the flexibility, adaptability, and robustness of the FARM stackKey FeaturesLearn the basics of MongoDB to be able to model any type of dataExplore the powerful Python web development ecosystem with Pydantic and FastAPIFuture-proof your applications by integrating ChatGPT or other LLMsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover how to harness the power of the FARM stack—FastAPI, React, and MongoDB—to develop production-ready web applications of varying complexity. Written by a team of industry experts, including MongoDB champions and product leaders, this fast-paced, hands-on guide equips beginners with essential skills to build web applications efficiently.Introducing each element of the stack, the book demonstrates how to seamlessly integrate them to create a medium-sized web application. You'll set up MongoDB as a document store, construct a simple API with FastAPI, and build an application using React. The guide also covers enhancing application security through authentication and authorization with JSON Web Tokens.Beyond mastering the stack, you'll get to grips with integrating Large Language Models (like ChatGPT) for advanced functionality, such as automated email sending. Additionally, you'll learn how to make the most of Next.js 14, a robust full-stack framework offering improved developer experience.By the end of the book, you'll have created functional applications and gained the foundation to explore diverse and more specialized domains, expanding your development horizons.What you will learnSet up and manage MongoDB databases and collections, and model dataLeverage the power of FastAPI to write complex APIs using pure PythonCreate frontends of varying complexity with the React libraryBuild and deploy robust and secure backends using FastAPI and MongoDBShip production-ready applications with Next.js 14, applying your React and backend knowledgeIntegrate Large Language Models, send emails, and do much more with the flexible FARM stackWho this book is forThe book is for intermediate web developers with basic JavaScript and Python knowledge who want to enhance their developer skills, master a powerful and flexible stack, and write better applications faster.

No detailed description available for "e;Full Stack FastAPI, React, and MongoDB"e;.

Master retrieval-augmented generation architecture and fine-tune your AI stack, along with discovering real-world use cases and best practices to create powerful AI apps

Key Features

Get to grips with the fundamentals of LLMs, vector databases, and Python frameworksImplement effective retrieval-augmented generation strategies with MongoDB AtlasOptimize AI models for performance and accuracy with model compression and deployment optimizationPurchase of the print or Kindle book includes a free PDF eBook

Book Description

The era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications.The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance.By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value.

What you will learn

Understand the architecture and components of the generative AI stackExplore the role of vector databases in enhancing AI applicationsMaster Python frameworks for AI developmentImplement Vector Search in AI applicationsFind out how to effectively evaluate LLM outputOvercome common failures and challenges in AI development

Who this book is for

This book is for software engineers and developers looking to build intelligent applications using generative AI. While the book is suitable for beginners, a basic understanding of Python programming is required to make the most of it.