Automate Conversations With Langchain

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Automate Conversations With Langchain

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Author : Edward Coldiron
language : en
Publisher: Independently Published
Release Date : 2025-02-23

Automate Conversations With Langchain written by Edward Coldiron and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-23 with Computers categories.

Automate Conversations with LangChain: Build Intelligent Chatbots and Virtual Assistants Conversational AI is transforming the way businesses and developers interact with users. Automate Conversations with LangChain is a practical guide that takes you through building intelligent chatbots and virtual assistants using LangChain, a powerful framework for developing AI-driven applications. Whether you're creating a customer support bot, a virtual assistant for productivity, or a specialized chatbot for a unique use case, this book equips you with the knowledge and hands-on skills to bring your ideas to life. By the end of this book, you'll have a deep understanding of how to design, develop, and deploy robust conversational AI solutions that are context-aware, efficient, and scalable. This book provides a step-by-step approach to building intelligent chatbots and virtual assistants using LangChain. It covers key topics such as prompt engineering, retrieval-augmented generation (RAG), memory management, API integrations, and advanced techniques like multi-turn dialogues and self-healing chatbots. Through practical examples and real-world use cases, you'll learn how to enhance chatbot performance, optimize responses, and scale your solutions for enterprise applications. Key Features of This Book Learn the fundamentals of LangChain and its role in AI-driven chatbots. Implement memory and context retention to improve conversation flow. Use retrieval-augmented generation (RAG) for better response accuracy. Integrate APIs, external tools, and databases to enhance chatbot capabilities. Optimize chatbot behavior using prompt engineering and fine-tuning techniques. Handle multi-turn conversations, decision trees, and fallback mechanisms. Deploy, scale, and monitor chatbots for real-world applications. This book is ideal for: Developers looking to build and deploy intelligent chatbots using LangChain. AI and ML enthusiasts eager to explore the practical applications of conversational AI. Business professionals and product managers interested in automating customer interactions. Data scientists who want to integrate LLM-powered chatbots into their workflows. Ready to build smarter chatbots? Automate Conversations with LangChain provides everything you need to design, implement, and scale AI-powered conversational agents. Whether you're a beginner or an experienced developer, this hands-on guide will help you unlock the full potential of LangChain. Start your journey today and revolutionize the way you interact with AI!

Chatgpt For Conversational Ai And Chatbots

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Author : Adrian Thompson
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-30

Chatgpt For Conversational Ai And Chatbots written by Adrian Thompson and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.

Explore ChatGPT technologies to create state-of-the-art chatbots and voice assistants, and prepare to lead the AI revolution Key Features Learn how to leverage ChatGPT to create innovative conversational AI solutions for your organization Harness LangChain and delve into step-by-step LLM application development for conversational AI Gain insights into security, privacy, and the future landscape of large language models and conversational AI Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionChatGPT for Conversational AI and Chatbots is a definitive resource for exploring conversational AI, ChatGPT, and large language models. This book introduces the fundamentals of ChatGPT and conversational AI automation. You’ll explore the application of ChatGPT in conversation design, the use of ChatGPT as a tool to create conversational experiences, and a range of other practical applications. As you progress, you’ll delve into LangChain, a dynamic framework for LLMs, covering topics such as prompt engineering, chatbot memory, using vector stores, and validating responses. Additionally, you’ll learn about creating and using LLM-enabling tools, monitoring and fine tuning, LangChain UI tools such as LangFlow, and the LangChain ecosystem. You’ll also cover popular use cases, such as using ChatGPT in conjunction with your own data. Later, the book focuses on creating a ChatGPT-powered chatbot that can comprehend and respond to queries directly from your unique data sources. The book then guides you through building chatbot UIs with ChatGPT API and some of the tools and best practices available. By the end of this book, you’ll be able to confidently leverage ChatGPT technologies to build conversational AI solutions.What you will learn Gain a solid understanding of ChatGPT and its capabilities and limitations Understand how to use ChatGPT for conversation design Discover how to use advanced LangChain techniques, such as prompting, memory, agents, chains, vector stores, and tools Create a ChatGPT chatbot that can answer questions about your own data Develop a chatbot powered by ChatGPT API Explore the future of conversational AI, LLMs, and ChatGPT alternatives Who this book is for This book is for tech-savvy readers, conversational AI practitioners, engineers, product owners, business analysts, and entrepreneurs wanting to integrate ChatGPT into conversational experiences and explore the possibilities of this game-changing technology. Anyone curious about using internal data with ChatGPT and looking to stay up to date with the developments in large language models will also find this book helpful. Some expertise in coding and standard web design concepts would be useful, along with familiarity with conversational AI terminology, though not essential.

Textual Intelligence

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Author : Meenakshi Malik
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-23

Textual Intelligence written by Meenakshi Malik and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Computers categories.

The book is a must-have resource for anyone looking to understand the complexities of generative AI, offering comprehensive insights into LLMs, effective training strategies, and practical applications. Textual Intelligence: Large Language Models and Their Real-World Applications provides an overview of generative AI and its multifaceted applications, as well as the significance and potential of Large Language Models (LLMs), including GPT and LLaMA. It addresses the generative AI project lifecycle, challenges in existing data architectures, proposed use case planning and scope definition, model deployment, and application integration. Training LLMs, data requirements for effective LLM training, pre-training and fine-tuning processes, and navigating computational resources and infrastructure are also discussed. The volume delves into in-context learning and prompt engineering, offering strategies for crafting effective prompts, techniques for controlling model behavior and output quality, and best practices for prompt engineering. Textual Intelligence: Large Language Models and Their Real-World Applications also discusses cost optimization strategies for LLM training, aligning models to human values, optimizing model architectures, the power of transfer learning and fine-tuning, instruction fine-tuning for precision, and parameter-efficient fine-tuning (PEFT) with adapters such as LoRA, QLoRA, and soft prompts, making it an essential guide for both beginners and industry veterans. Readers will find this book: Explores the real-world potential of large language models; Introduces industry-changing AI solutions; Provides advanced insights on AI and its models. Audience Industry professionals, academics, graduate students, and researchers seeking real-world solutions using generative AI.

Chatgpt Automation With Python

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Author : Vance Pike
language : en
Publisher: Oladosun Mopelola Opeyemi
Release Date : 2025-07-20

Chatgpt Automation With Python written by Vance Pike and has been published by Oladosun Mopelola Opeyemi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-20 with Computers categories.

Discover how to combine the power of Python and ChatGPT to streamline tasks, boost productivity, and save valuable time—even if you're not an expert. This concise, hands-on guide helps you set up the OpenAI API and start automating practical, real-life workflows with working Python scripts. From content generation to document summarization, you'll learn how to write code that actually does something useful. Inside, you’ll learn how to: l Write automatic replies for emails and messages l Summarize long PDFs and text documents with just a few lines of code l Dynamically generate content like blog posts or captions l Create a reusable script template to automate new tasks quickly l Handle API errors and troubleshoot basic issues Whether you’re a beginner with basic Python skills or a freelancer looking to work smarter, this book shows you how to get results—fast. Perfect for: Python learners ready to try something useful Developers curious about AI integration Busy creators and freelancers looking to save time Skip the fluff. Learn by doing. In less than 90 minutes, you’ll be automating tasks using real, usable Python code.

Ultimate Chatgpt Handbook For Enterprises Transform The Enterprise Landscape By Leveraging Ai Capabilities Prompt Engineering Gpt Solution Cycles Of Chatgpt With Python And Java

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Author : Dr. Harald
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2023-11-21

Ultimate Chatgpt Handbook For Enterprises Transform The Enterprise Landscape By Leveraging Ai Capabilities Prompt Engineering Gpt Solution Cycles Of Chatgpt With Python And Java written by Dr. Harald and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-21 with Computers categories.

Empowering the Global Workforce with ChatGPT Expertise. Key Features ● Comprehensive Guide to GPT Evolution, AI Capabilities, and Prompt Engineering. ● Design Patterns for Enterprise Personas, Architectures, and AI Assistants. ● Management of the GPT Solution Development Cycle. Book Description“Ultimate ChatGPT Handbook for Enterprises” is your indispensable resource for navigating the transformative world of ChatGPT within the enterprise domain. It provides a deep dive into ChatGPT's evolution, capabilities, and its potential to democratize technology interactions through natural language. Throughout its chapters, you'll embark on a journey that spans from comprehending the lineage of GPT models to mastering advanced prompt engineering techniques. It will help you take a step into a futuristic enterprise landscape where ChatGPT seamlessly collaborates with human intelligence, fundamentally transforming daily work routines across various enterprise roles. The latter chapters will help you attain proficiency in managing GPT projects, discovering the agile and iterative approach to GPT solution life cycles using real-world scenarios. You will also be introduced to practical GPT implementation frameworks for both Python and Java. What you will learn● Acquire the expertise to design intelligent assistants that elevate enterprise operations, promoting efficiency and innovation. ● Gain practical skills to implement ChatGPT solutions using Python and Java, enabling seamless integration with your enterprise systems. ● Learn effective project management from initiation to validation and change management, ensuring successful GPT solution implementation in enterprises. ● Explore how ChatGPT can reshape various roles, boosting productivity and fostering harmonious AI-human collaboration in the workplace. Who is this book for? This book is designed for business professionals, IT specialists, and AI enthusiasts who are eager to delve into the transformative world of ChatGPT and its applications in the enterprise landscape. Table of Contents1. ​​From GPT-1 to ChatGPT-4: The Evolution Towards Generative AI 2. CapabilityGPT An Enterprise AI-Capability Framework for ChatGPT 3. The Impact of ChatGPT on the Enterprise 4. Architecture Patterns enabled by GPT-Models 5. Advanced GPT Prompt Engineering Techniques 6. Designing Prompt-based Intelligent Assistants 7. Mastery of GPT-Projects 8. LangChain: GPT Implementation Framework for Python 9. predictive-powers: GPT Implementation Framework for Java APPENDIX A: APPENDIX B:

Intermediate Python And Large Language Models

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Author : Dilyan Grigorov
language : en
Publisher: Springer Nature
Release Date : 2025-06-27

Intermediate Python And Large Language Models written by Dilyan Grigorov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Computers categories.

Harness the power of Large Language Models (LLMs) to build cutting-edge AI applications with Python and LangChain. This book provides a hands-on approach to understanding, implementing, and deploying LLM-powered solutions, equipping developers, data scientists, and AI enthusiasts with the tools to create real-world AI applications. The journey begins with an introduction to LangChain, covering its core concepts, integration with Python, and essential components such as prompt engineering, memory management, and retrieval-augmented generation (RAG). As you progress, you’ll explore advanced AI workflows, including multi-agent architectures, fine-tuning strategies, and optimization techniques to maximize LLM efficiency. The book also takes a deep dive into practical applications of LLMs, guiding you through the development of intelligent chatbots, document retrieval systems, content generation pipelines, and AI-driven automation tools. You’ll learn how to leverage APIs, integrate LLMs into web and mobile platforms, and optimize large-scale deployments while addressing key challenges such as inference latency, cost efficiency, and ethical considerations. By the end of the book, you’ll have gained a solid understanding of LLM architectures, hands-on experience with LangChain, and the expertise to build scalable AI applications that redefine human-computer interaction. What You Will Learn Understand the fundamentals of LangChain and Python for LLM development Know advanced AI workflows, including fine-tuning and memory management Build AI-powered applications such as chatbots, retrieval systems, and automation tools Know deployment strategies and performance optimization for real-world use Use best practices for scalability, security, and responsible AI implementation Unlock the full potential of LLMs and take your AI development skills to the next level Who This Book Is For Software engineers and Python developers interested in learning the foundations of LLMs and building advanced modern LLM applications for various tasks

Agentic Ai A Practical Guide To Build Agent Based Ai Systems That Think And Act

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Author : Tejas Patthi
language : en
Publisher: Tejas Patthi
Release Date : 2025-06-30

Agentic Ai A Practical Guide To Build Agent Based Ai Systems That Think And Act written by Tejas Patthi and has been published by Tejas Patthi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.

Build real-world AI systems that do more than just respond. They think, plan, and act with purpose. Agentic AI is a comprehensive, hands-on guide to building autonomous AI agents using Python, large language models (LLMs), LangGraph, CrewAI, FAISS, and other modern tools. Whether you are an AI developer, a machine learning engineer, or a tech enthusiast, this book will help you move beyond simple chatbots and prompt-based models into the advanced world of intelligent, agent-based systems that function independently and handle real tasks. In this step-by-step guide, you’ll learn how to build LLM-powered autonomous agents capable of reasoning, tool use, memory recall, and multi-step task execution. From integrating with real-world APIs to deploying production-ready agent workflows, you'll gain the skills to create powerful and reliable agentic AI systems using today's top frameworks and best practices. 🔍 What You Will Learn: How to build autonomous AI agents that work independently without constant human input How to create agents with long-term memory using vector databases like FAISS and Chroma How to orchestrate multi-agent systems using frameworks like LangGraph and CrewAI How to integrate AI with external tools, APIs, and web services How to use Python to script smart agent behaviors and decision-making logic How to deploy agentic systems in cloud environments or containers with live monitoring How to implement agent safety, performance testing, and real-time feedback loops 💡 Why This Book Is Different: This is not just another theoretical AI book. Agentic AI is a project-based, code-driven manual that gives you everything you need to: Build tool-using AI assistants, copilots, and multi-agent task managers Use LangChain, LangGraph, CrewAI, and LLM toolchains effectively Combine LLMs with real-time data, plugins, memory, and feedback systems Design and deploy goal-driven AI agents with full autonomy and context awareness Stay ahead in the fast-evolving field of agent-based AI and LLM integration 🧠 Tools and Technologies Covered: Python 3.x LangGraph & LangChain CrewAI & OpenAgents ChromaDB & FAISS for memory OpenAI, Claude, Gemini, HuggingFace APIs FastAPI, Docker, REST APIs, and Webhooks Autonomous task chaining, multi-agent routing, and smart tool use 📦 Who Should Read This Book? AI Engineers ready to move beyond static models Python Developers exploring LLMs and autonomous systems Tech founders building smart assistants and AI copilots Data Scientists interested in real-world AI deployment Prompt engineers ready to level up into full-stack AI workflows

Architecture Beyond Bim Ai Driven Design Planning Automation For Architects

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Author : Vivek Bhati
language : en
Publisher: Vivek Bhati
Release Date : 2025-06-24

Architecture Beyond Bim Ai Driven Design Planning Automation For Architects written by Vivek Bhati and has been published by Vivek Bhati this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Architecture categories.

Architecture Beyond BIM is a comprehensive guide for architects, urban planners, and design professionals eager to harness the transformative power of artificial intelligence in the built environment. As Building Information Modeling (BIM) matures and its limitations become clearer, this book charts the evolution toward AI-driven design, planning, and automation — empowering readers to move confidently beyond traditional workflows into a new era of architectural intelligence. This book demystifies how AI is reshaping every phase of architecture — from early concept ideation and spatial programming, through detailed modeling and documentation, to construction management and post-occupancy optimization. It bridges technical depth with practical insight, showing how today’s architects can leverage generative design, predictive analytics, automated drafting, and custom AI assistants to unlock new levels of creativity, efficiency, and sustainability. Inside Architecture Beyond BIM, you will discover: How AI-powered tools generate diverse design options rapidly, guided by goals such as daylight optimization, energy efficiency, or spatial programming Strategies for integrating AI into BIM, parametric modeling, and no-code automation platforms, enabling streamlined workflows and reduced manual effort Use cases across interiors, façades, masterplanning, and urban systems where AI accelerates decision-making and reveals hidden opportunities Methods to build firm-specific AI models and GPT assistants that encapsulate your standards, knowledge, and best practices Approaches for ethical AI use, addressing bias, authorship, transparency, and human-centered design in an automated age Insights into the future architect’s evolving role as a prompt engineer, design strategist, and curator of intelligent systems More than a technology primer, this book offers tested prompts, toolkits, and workflows vetted by industry leaders, making AI adoption actionable rather than theoretical. It supports mid-career architects, BIM managers, principals, and educators in embracing AI’s potential without losing architectural rigor or creative control. Bonus appendices provide: An extensive AI tools library categorized by design phase and function A curated prompt collection to jumpstart your AI interactions Visual glossaries explaining common AI-generated outputs Checklists for firm-wide AI integration and change management Ready-to-use workflow templates to embed AI into everyday practice As architecture stands at the crossroads of digital transformation, Architecture Beyond BIM serves as a vital companion for practitioners ready to lead the AI revolution — designing smarter, faster, and more sustainably, while safeguarding the human essence of the craft. Whether you are exploring generative design, automating tedious tasks, or building a future-ready practice, this book equips you with the knowledge, tools, and ethical frameworks to thrive in an AI-augmented world. Step confidently into the future of architecture. Discover what lies beyond BIM.

Proceedings Of 4th International Conference On Artificial Intelligence And Smart Energy

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Author : S. Manoharan
language : en
Publisher: Springer Nature
Release Date : 2024-06-07

Proceedings Of 4th International Conference On Artificial Intelligence And Smart Energy written by S. Manoharan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-07 with Computers categories.

This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future. · Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry. · Presents recent research in the sustainable transformation of engineering and technological systems. · Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.

Introduction To Python And Large Language Models

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Author : Dilyan Grigorov
language : en
Publisher: Springer Nature
Release Date : 2024-10-22

Introduction To Python And Large Language Models written by Dilyan Grigorov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.

Gain a solid foundation for Natural Language Processing (NLP) and Large Language Models (LLMs), emphasizing their significance in today’s computational world. This book is an introductory guide to NLP and LLMs with Python programming. The book starts with the basics of NLP and LLMs. It covers essential NLP concepts, such as text preprocessing, feature engineering, and sentiment analysis using Python. The book offers insights into Python programming, covering syntax, data types, conditionals, loops, functions, and object-oriented programming. Next, it delves deeper into LLMs, unraveling their complex components. You’ll learn about LLM elements, including embedding layers, feedforward layers, recurrent layers, and attention mechanisms. You’ll also explore important topics like tokens, token distributions, zero-shot learning, LLM hallucinations, and insights into popular LLM architectures such as GPT-4, BERT, T5, PALM, and others. Additionally, it covers Python libraries like Hugging Face, OpenAI API, and Cohere. The final chapter bridges theory with practical application, offering step-by-step examples of coded applications for tasks like text generation, summarization, language translation, question-answering systems, and chatbots. In the end, this book will equip you with the knowledge and tools to navigate the dynamic landscape of NLP and LLMs. What You’ll Learn Understand the basics of Python and the features of Python 3.11 Explore the essentials of NLP and how do they lay the foundations for LLMs. Review LLM components. Develop basic apps using LLMs and Python. Who This Book Is For Data analysts, AI and Machine Learning Experts, Python developers, and Software Development Professionals interested in learning the foundations of NLP, LLMs, and the processes of building modern LLM applications for various tasks.