Building Conversational Generative AI Apps with Langchain and GPT: Develop End-to-End LLM-Powered Conversational AI Apps with Python, LangChain, GPT, . (Generative AI Engineer ? Python LLM Path)

S, Mugesh; AVA, Orange

ISBN 10: 9349887924 / ISBN 13: 9789349887923

Published by Orange Education Pvt Ltd, 2025

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Bibliographic Details

• Title: Building Conversational Generative AI Apps with Langchain and GPT: Develop End-to-End LLM-Powered Conversational AI Apps with Python, LangChain, GPT, . (Generative AI Engineer ? Python LLM Path)
• Publisher: Orange Education Pvt Ltd
• Publication Date: 2025
• Language: English
• ISBN 10: 9349887924
• ISBN 13: 9789349887923
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Transform Text into Intelligent Conversations with LangChain and GPT.

Book Description
Conversational AI Apps are revolutionizing the way we interact with technology, enabling businesses and developers to create smarter, more intuitive applications that engage users in natural, meaningful ways. Building Conversational Generative AI Apps with LangChain and GPT is your ultimate guide to mastering AI-driven conversational systems.

Starting with core concepts of generative AI and LLMs, you'll learn to build intelligent chatbots and virtual assistants, while exploring techniques like fine-tuning LLMs, retrieval-augmented generation (RAG), and document embedding.

As you progress, you'll dive deeper into advanced topics such as vector databases and multimodal capabilities, enabling you to create highly accurate, context-aware AI agents. The book's step-by-step tutorials ensure that you develop practical skills in deploying and optimizing scalable conversational AI solutions.

By the end, you'll be equipped to build AI apps that enhance customer engagement, automate workflows, and scale seamlessly.

Unlock the potential of Building Conversational Generative AI Apps with LangChain and GPT and create next-gen AI applications today!

Table of Contents
1. Introduction to Conversational Generative AI
2. Natural Language Processing (NLP) Fundamentals
3. The Building Blocks of Rule-Based Chatbots
4. Statistical Language Models for Text Generation
5. Neural Network Architectures for Conversation
6. The Transformer Architecture Revolution
7. Unveiling ChatGPT and Architectures
8. Langchain Framework for Building Conversational AI
9. Exploring the LLM Landscape beyond GPT
10. The Transformative Impact of Conversational AI
11. Challenges and Opportunities in LLM Development
Index