BOOKS - Building Generative AI Services with FastAPI A Practical Approach to Developi...
Building Generative AI Services with FastAPI A Practical Approach to Developing Context Rich Generative AI Applications (Second Early Release) - Ali Parandeh 2024-05-20 EPUB O’Reilly Media, Inc. BOOKS
1 TON

Views
29455

Telegram
 
Building Generative AI Services with FastAPI A Practical Approach to Developing Context Rich Generative AI Applications (Second Early Release)
Author: Ali Parandeh
Year: 2024-05-20
Format: EPUB
File size: 11.4 MB
Language: ENG



Pay with Telegram STARS
Book Description: Building Generative AI Services with FastAPI is a practical guide to developing context-rich generative AI applications using FastAPI, a popular Python framework for building web services. The book covers the entire development process, from designing and implementing the architecture to deploying and maintaining the application. It provides a comprehensive understanding of the technological process of developing modern knowledge and its impact on human society, highlighting the importance of adapting to the changing landscape of AI research and development. The book begins by introducing the concept of generative AI and its significance in modern technology, followed by an overview of FastAPI and its features. It then delves into the details of building generative AI services, including the design of the architecture, the selection of appropriate algorithms, and the implementation of the service. The book also discusses the challenges and limitations of generative AI and how to overcome them. Throughout the book, the author emphasizes the need to study and understand the process of technology evolution, as it is crucial for the survival of humanity and the unification of people in a warring state. The author argues that by embracing this approach, we can create a personal paradigm for perceiving the technological process of developing modern knowledge, which will enable us to navigate the complex and rapidly evolving field of AI with confidence and expertise.
Building Generative AI Services with FastAPI - практическое руководство по разработке контекстно-богатых генеративных AI-приложений с использованием FastAPI, популярного Python-фреймворка для построения веб-сервисов. Книга охватывает весь процесс разработки, от проектирования и внедрения архитектуры до развертывания и обслуживания приложения. Он обеспечивает всестороннее понимание технологического процесса развития современных знаний и его влияния на человеческое общество, подчеркивая важность адаптации к изменяющемуся ландшафту исследований и разработок ИИ. Книга начинается с введения понятия генеративного ИИ и его значения в современных технологиях, после чего следует обзор FastAPI и его особенностей. Затем он углубляется в детали построения сервисов генеративного ИИ, включая дизайн архитектуры, выбор соответствующих алгоритмов и реализацию сервиса. В книге также обсуждаются проблемы и ограничения генеративного ИИ и способы их преодоления. На протяжении всей книги автор подчеркивает необходимость изучения и понимания процесса эволюции технологий, так как он имеет решающее значение для выживания человечества и объединения людей в воюющем государстве. Автор утверждает, что, приняв этот подход, мы можем создать личную парадигму восприятия технологического процесса развития современных знаний, что даст нам возможность уверенно и экспертно ориентироваться в сложной и быстро развивающейся области ИИ.
''

You may also be interested in:

Building Generative AI Services with FastAPI A Practical Approach to Developing Context Rich Generative AI Applications (Second Early Release)
Building Generative AI Services with FastAPI A Practical Approach to Developing Context Rich Generative AI Applications (Second Early Release)
Building Generative AI Services with FastAPI A Practical Approach to Developing Context Rich Generative AI Applications (5th Early Release)
Building Generative AI Services with FastAPI
Getting started with FastAPI Here continue your roadmap in the development of web applications in Python with FastApi
Getting started with FastApi: Here continue your roadmap in the development of web applications in Python with FastApi
Azure AI Services at Scale for Cloud, Mobile, and Edge: Building Intelligent Apps with Azure Cognitive Services and Machine Learning
Building Serverless Applications with Google Cloud Run A Real-World Guide to Building Production-Ready Services
Generative AI in Banking Financial Services and Insurance A Guide to Use Cases, Approaches and Insights
Ultimate Generative AI Solutions on Google Cloud Practical Strategies for Building and Scaling Generative AI Solutions with Google Cloud Tools, Langchain, RAG, and LLMOps
Building Intelligent Apps with .Net and Azure AI Services Start Your Journey in Building Intelligent Solutions
Building Intelligent Apps with .Net and Azure AI Services Start Your Journey in Building Intelligent Solutions
Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python
Building Generative AI-Powered Apps A Hands-on Guide for Developers
Building Generative AI-Powered Apps: A Hands-on Guide for Developers
Building Generative AI-Powered Apps A Hands-on Guide for Developers
Building Reliable Services on the Cloud
LLM Adoption in the Enterprise A Guide to Building Meaningful Products with Generative AI
LLM Adoption in the Enterprise A Guide to Building Meaningful Products with Generative AI
Generative AI on AWS Building Context-Aware Multimodal Reasoning Applications
Generative AI on AWS Building Context-Aware Multimodal Reasoning Applications
RESTful Rails Development Building Open Applications and Services
Designing for Sustainability A Guide to Building Greener Digital Products and Services
Distributed Systems with Node.js Building Enterprise-Ready Backend Services
Building Services Engineering Smart and Sustainable Design for Health and Wellbeing
Building Cross-Platform Apps using Titanium, Alloy, and Appcelerator Cloud Services
Cloud Native Go Building Reliable Services in Unreliable Environments, 2nd Edition (Final Release)
Cloud Native Go Building Reliable Services in Unreliable Environments, 2nd Edition (Final Release)
Building a Future-Proof Cloud Infrastructure A Unified Architecture for Network, Security, and Storage Services
Cloud Native Go Building Reliable Services in Unreliable Environments, 2nd Edition (Second Early Release)
Building Microservices with ASP.NET Core Develop, Test, and Deploy Cross-Platform Services in the Cloud
Generative AI for Web Development Building Web Applications Powered by OpenAI APIs and Next.js
Generative AI for Web Development Building Web Applications Powered by OpenAI APIs and Next.js
Generative AI Apps with Langchain and Python A Project-Based Approach to Building Real-World LLM Apps
Mastering Serverless Applications with Google Cloud Run A Real-World Guide to Building Production-Ready Services (Early Release)
Generative Analysis: The Power of Generative AI for Object-Oriented Software Engineering with UML
Optimizing Generative AI Workloads for Sustainability Balancing Performance and Environmental Impact in Generative AI
Optimizing Generative AI Workloads for Sustainability Balancing Performance and Environmental Impact in Generative AI
Generative AI and LLMs Natural Language Processing and Generative Adversarial Networks
A Generative Journey to AI Mastering the foundations and frontiers of generative deep learning