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Building Conversational Generative AI Apps with Langchain and GPT : Develop End-To-End LLM-Powered Conversational AI Apps with Python, LangChain, GPT, and Google Colab (English Edition).

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Format:
Book
Author/Creator:
S., Mugesh.
Language:
English
Subjects (All):
Natural language processing (Computer science).
Artificial intelligence.
Physical Description:
1 online resource (236 pages)
Edition:
1st ed.
Place of Publication:
Delhi : Orange Education PVT Ltd, 2025.
Summary:
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!.
Contents:
Cover Page
Title Page
Copyright Page
Dedication Page
About the Author
About the Technical Reviewer
Acknowledgements
Preface
Errata
Table of Contents
1. Introduction to Conversational Generative AI
Introduction
Structure
Defining Conversational AI
The Future of Conversational AI: A World of Possibilities
Conversational Generative AI
History of Conversational AI
Role of NLP in Conversational AI
Overview of Generative Models in NLP
Applications of Conversational AI
Python Libraries in NLP Techniques
Python Libraries and Frameworks in Conversational AI
Python Code Editors for Conversational AI
Downloading and Installing Anaconda for Windows and macOS
Google Colab for AI coding
Conclusion
Points to Remember
Questions
References
2. Natural Language Processing (NLP) Fundamentals Generated by AI.
Notes:
Description based on publisher supplied metadata and other sources.
Part of the metadata in this record was created by AI, based on the text of the resource.
ISBN:
93-498-8704-5
93-498-8792-4
OCLC:
1523372027

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