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Construa seu próprio chatbot usando Python e ferramentas open source. Este livro começa com uma introdução aos chatbots na qual você obterá informações vitais sobre sua arquitetura. Em seguida, começará imediatamente a usar o Natural Language Processing (NLP) com a ajuda do Natural Language Toolkit (NLTK) para construir uma plataforma de processamento de linguagem personalizada para seu chatbot. Com essa base inicial, examinará diferentes técnicas de Natural Language Processing para selecionar a que lhe for mais adequada. O próximo estágio é aprender a construir um chatbot usando a plataforma API.ai e definir suas intenções e entidades. No decorrer desse exemplo, você aprenderá a ativar a comunicação com o bot e também examinará os importantes tópicos de sua integração e implantação. O último capítulo de Construindo Chatbots com Python ensinará como construir, treinar e implantar o próprio chatbot. Usando bibliotecas open source e técnicas de machine learning, você aprenderá a prever condições para seu bot e a desenvolver um agente de conversação como uma aplicação web. Para concluir, implantará seu chatbot em seu próprio servidor com a AWS. Neste livro, você: • Conhecerá os aspectos básicos do Natural Language Processing usando Python • Coletará dados e os converterá em dados de treinamento para o chatbot • Construirá seu chatbot a partir do zero como um web app • Integrará seus chatbots ao Facebook, Slack e Telegram • Implantará os chatbots em seu próprio servidor.
Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you. The next stage is to learn to build a chatbot using the API.ai platform and define its intents and entities. During this example, you will learn to enable communication with your bot and also take a look at key points of its integration and deployment. The final chapter of Building Chatbots with Python teaches you how to build, train, and deploy your very own chatbot. Using open source libraries and machine learning techniques you will learn to predict conditions for your bot and develop a conversational agent as a web application. Finally you will deploy your chatbot on your own server with AWS. What You Will Learn Gain the basics of natural language processing using Python Collect data and train your data for the chatbot Build your chatbot from scratch as a web app Integrate your chatbots with Facebook, Slack, and Telegram Deploy chatbots on your own server Who This Book Is For Intermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book.
Chatbots are taking the world by storm. Powered by artificial intelligence, chatbots are going mainstream - transforming how businesses interact with customers and how we engage with devices and services. In this definitive guide, you'll learn to create your own chatbots using Python and leading machine learning techniques like deep learning. Ideal for first-time chatbot developers, this hands-on book covers the key capabilities needed to build conversant chatbots. Clear explanations and downloadable code help you gain practical mastery as you progress through chatbot architecture, natural language processing, machine learning models, deep learning neural networks, testing, deployment and more. Key capabilities you will learn: ✅ Building rule-based and self-learning chatbots ✅ Processing natural languages with Python ✅ Training machine learning models for language understanding ✅ Creating deep learning chatbots with TensorFlow ✅ Embedding your bots in websites, apps and smart devices ✅ Getting accurate responses with NLP and ML ✅ Continuously improving your bots through analytics If you're looking for an up-to-date guide to create capable, intelligent bots using the latest techniques, this is the book you need. Perfect for Python developers with interest in AI, machine learning engineers, data scientists, hobbyists and anyone fascinated by the potentials of conversational interfaces powered by language intelligence. The future is talking - learn to build these crucial AI assistants with Python now!
Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. You’ll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples. In the next sections, you'll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you'll discuss how to deploy the custom chatbot framework on the AWS cloud. By the end of Building an Enterprise Chatbot, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user. What You Will LearnIdentify business processes where chatbots could be usedFocus on building a chatbot for one industry and one use-case rather than building a ubiquitous and generic chatbot Design the solution architecture for a chatbotIntegrate chatbots with internal data sources using APIsDiscover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learning Who This Book Is ForData scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.
Yeeshtdevisingh Hosanee is a leading academic in her field and recognised internationally for her work. This is her latest book on Python programming.
This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how they work. You'll also get a step-by-step guide for developing applications using the OpenAI Python library, including text generation, Q&A, and smart assistants. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: Fundamentals and benefits of GPT-4 and GPT-3.5 models, including the main features and how they work How to integrate these models into Python-based applications, leveraging natural language processing capabilities and overcoming specific LLM-related challenges Examples of applications demonstrating the OpenAI API in Python for tasks including text generation, question answering, content summarization, classification, and more Advanced LLM topics such as prompt engineering, fine-tuning models for specific tasks, RAG, plug-ins, LangChain, LlamaIndex, GPTs, and assistants Olivier Caelen is a machine learning researcher at Worldline and teaches machine learning courses at the University of Brussels. Marie-Alice Blete, a software architect and data engineer in Worldline's R&D department, is interested in performance and latency issues associated with AI solutions.
Presents an account, first published in 1622, of the Pilgrim's journey to the new world.
Composed of twenty-two thematic chapters, Embodied Religion orients students and scholars to the critical study of religion, gender, sexuality, and the body. The introduction and first section provide a foundational overview of key terms, topics, and questions for such scholarly work. In the second section, essays examine the multiple and complex ways that various traditionsâ from Hinduism to Christianity to Paganismâ seek to regulate and celebrate embodiment and desire. A final section examines relevant theoretical approaches, including ethnography, phenomenology, queer studies, and disability studies. The volume also includes bibliographies filmographies, images, a glossary, and a comprehensive index, all of which aid the reader in exploring this rich, rewarding, and relevant field.
Bestselling author Byron Katie and accomplished, award-winning illustrator Hans Wilhelm team up for a modern retelling of the classic folk tale The Sky Is Falling--reimagined through the lens of Byron Katie's world-famous philosophy for living known as "The Work." Written for adults and children alike, in the form of a full-color, illustrated book, the wisdom contained in this beautiful work can have a profound effect on readers young and old.
Same as the old version (same cover, copy and reviews), except it has some revised text.