Chatbots And Text Generation

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Generative AI - Text Generation Strategies for LLMs

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 72 pages
Book Rating : 4./5 ( download)

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Book Synopsis Generative AI - Text Generation Strategies for LLMs by : Anand Vemula

Download or read book Generative AI - Text Generation Strategies for LLMs written by Anand Vemula and published by Anand Vemula. This book was released on with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves into the fascinating world of generative AI and explores how Large Language Models (LLMs) are revolutionizing text creation. It equips you with a foundational understanding of these AI models and empowers you to leverage their capabilities for various purposes. Part 1: Foundational Concepts sets the stage by introducing generative AI and its application in text generation. It unveils the inner workings of LLMs, explaining how these AI models are specifically designed to understand and process human language. You'll explore the vast potential of LLM-powered text generation, from crafting poems and scripts to generating product descriptions and social media content. Part 2: Applications and Use Cases dives into the practical applications of LLMs. You'll discover how LLMs can be used to generate different creative text formats like poetry, code, and even movie scripts. Explore techniques for style transfer and textual mashups, allowing you to create unique and innovative writing styles. The chapter on content creation and marketing explores how LLMs can assist with generating product descriptions, blog posts, and social media content, streamlining your content creation process. Part 3: Evaluation and Considerations delves into the process of evaluating LLM-generated text. You'll learn about various metrics used to assess the quality of the generated content, including coherence, fluency, and grammatical correctness. The chapter on challenges and biases in LLM text generation explores the importance of mitigating bias and promoting fairness in AI development. It also addresses safety and security concerns, along with the need for explainability and interpretability of LLM outputs. The final chapter explores the exciting future of generative AI and LLMs. You'll discover emerging trends like more powerful LLMs, multimodal capabilities that integrate text with other formats, and the potential for personalized LLMs that adapt to individual users. The book concludes by discussing the broader impact of generative AI on society, exploring its potential to transform creative industries, education, and communication. By understanding the fundamentals of LLMs and their applications, you can become an active participant in this evolving landscape of AI-powered text generation. This book equips you with the knowledge and tools to leverage the power of LLMs and unlock their potential for creative exploration, informative content creation, and innovative communication.

More than a Chatbot

Author : Mascha Kurpicz-Briki
Publisher : Springer Nature
ISBN 13 : 3031376900
Total Pages : 133 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis More than a Chatbot by : Mascha Kurpicz-Briki

Download or read book More than a Chatbot written by Mascha Kurpicz-Briki and published by Springer Nature. This book was released on with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author :
Publisher : Soffer Publishing
ISBN 13 : 2764784910
Total Pages : 62 pages
Book Rating : 4.7/5 (647 download)

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Download or read book written by and published by Soffer Publishing. This book was released on with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning Techniques for Text

Author : Nikos Tsourakis
Publisher : Packt Publishing Ltd
ISBN 13 : 1803236299
Total Pages : 448 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Machine Learning Techniques for Text by : Nikos Tsourakis

Download or read book Machine Learning Techniques for Text written by Nikos Tsourakis and published by Packt Publishing Ltd. This book was released on 2022-10-31 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take your Python text processing skills to another level by learning about the latest natural language processing and machine learning techniques with this full color guide Key FeaturesLearn how to acquire and process textual data and visualize the key findingsObtain deeper insight into the most commonly used algorithms and techniques and understand their tradeoffsImplement models for solving real-world problems and evaluate their performanceBook Description With the ever-increasing demand for machine learning and programming professionals, it's prime time to invest in the field. This book will help you in this endeavor, focusing specifically on text data and human language by steering a middle path among the various textbooks that present complicated theoretical concepts or focus disproportionately on Python code. A good metaphor this work builds upon is the relationship between an experienced craftsperson and their trainee. Based on the current problem, the former picks a tool from the toolbox, explains its utility, and puts it into action. This approach will help you to identify at least one practical use for each method or technique presented. The content unfolds in ten chapters, each discussing one specific case study. For this reason, the book is solution-oriented. It's accompanied by Python code in the form of Jupyter notebooks to help you obtain hands-on experience. A recurring pattern in the chapters of this book is helping you get some intuition on the data and then implement and contrast various solutions. By the end of this book, you'll be able to understand and apply various techniques with Python for text preprocessing, text representation, dimensionality reduction, machine learning, language modeling, visualization, and evaluation. What you will learnUnderstand fundamental concepts of machine learning for textDiscover how text data can be represented and build language modelsPerform exploratory data analysis on text corporaUse text preprocessing techniques and understand their trade-offsApply dimensionality reduction for visualization and classificationIncorporate and fine-tune algorithms and models for machine learningEvaluate the performance of the implemented systemsKnow the tools for retrieving text data and visualizing the machine learning workflowWho this book is for This book is for professionals in the area of computer science, programming, data science, informatics, business analytics, statistics, language technology, and more who aim for a gentle career shift in machine learning for text. Students in relevant disciplines that seek a textbook in the field will benefit from the practical aspects of the content and how the theory is presented. Finally, professors teaching a similar course will be able to pick pertinent topics in terms of content and difficulty. Beginner-level knowledge of Python programming is needed to get started with this book.

Developing Enterprise Chatbots

Author : Boris Galitsky
Publisher : Springer
ISBN 13 : 3030042995
Total Pages : 566 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Developing Enterprise Chatbots by : Boris Galitsky

Download or read book Developing Enterprise Chatbots written by Boris Galitsky and published by Springer. This book was released on 2019-04-04 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays. Designers have to learn to combine intuitive, explainable language understanding and reasoning approaches with high-performance statistical and deep learning technologies. Today, there are two popular paradigms for chatbot construction: 1. Build a bot platform with universal NLP and ML capabilities so that a bot developer for a particular enterprise, not being an expert, can populate it with training data; 2. Accumulate a huge set of training dialogue data, feed it to a deep learning network and expect the trained chatbot to automatically learn “how to chat”. Although these two approaches are reported to imitate some intelligent dialogues, both of them are unsuitable for enterprise chatbots, being unreliable and too brittle. The latter approach is based on a belief that some learning miracle will happen and a chatbot will start functioning without a thorough feature and domain engineering by an expert and interpretable dialogue management algorithms. Enterprise high-performance chatbots with extensive domain knowledge require a mix of statistical, inductive, deep machine learning and learning from the web, syntactic, semantic and discourse NLP, ontology-based reasoning and a state machine to control a dialogue. This book will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning. The foci of this book are applications of discourse analysis in text relevant assessment, dialogue management and content generation, which help to overcome the limitations of platform-based and data driven-based approaches. Supplementary material and code is available at https://github.com/bgalitsky/relevance-based-on-parse-trees

Applied Artificial Intelligence

Author : Mariya Yao
Publisher :
ISBN 13 : 9780998289021
Total Pages : 246 pages
Book Rating : 4.2/5 (89 download)

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Book Synopsis Applied Artificial Intelligence by : Mariya Yao

Download or read book Applied Artificial Intelligence written by Mariya Yao and published by . This book was released on 2018-04-30 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions to deliver ROI for your business.

Introduction to Python and Large Language Models

Author : Dilyan Grigorov
Publisher : Springer Nature
ISBN 13 :
Total Pages : 395 pages
Book Rating : 4.8/5 (688 download)

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Book Synopsis Introduction to Python and Large Language Models by : Dilyan Grigorov

Download or read book Introduction to Python and Large Language Models written by Dilyan Grigorov and published by Springer Nature. This book was released on with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A.I. Artificial intelligence, introduction to the issues and current trends

Author : Pavel Bartoš
Publisher : Evropská akademie vzdělávání SE (European Academy of education)
ISBN 13 : 809091540X
Total Pages : 40 pages
Book Rating : 4.0/5 (99 download)

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Book Synopsis A.I. Artificial intelligence, introduction to the issues and current trends by : Pavel Bartoš

Download or read book A.I. Artificial intelligence, introduction to the issues and current trends written by Pavel Bartoš and published by Evropská akademie vzdělávání SE (European Academy of education). This book was released on 2023-01-01 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI), often referred to by the acronym Artificial Intelligence, is a fascinating and dynamically developing field that has far-reaching implications for various sectors of human activity. At its core, it is the simulation of human intelligence in computer systems. AI is capable of learning, planning, problem solving, speech recognition, visual perception and many other cognitive functions that were previously considered the exclusive domain of human thought.

Generative AI and LLMs

Author : S. Balasubramaniam
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3111425517
Total Pages : 366 pages
Book Rating : 4.1/5 (114 download)

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Book Synopsis Generative AI and LLMs by : S. Balasubramaniam

Download or read book Generative AI and LLMs written by S. Balasubramaniam and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-09-23 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM.

200 Tips for Mastering Generative AI

Author : Rick Spair
Publisher : Rick Spair
ISBN 13 :
Total Pages : 888 pages
Book Rating : 4./5 ( download)

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Book Synopsis 200 Tips for Mastering Generative AI by : Rick Spair

Download or read book 200 Tips for Mastering Generative AI written by Rick Spair and published by Rick Spair. This book was released on with total page 888 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving landscape of artificial intelligence, Generative AI stands out as a transformative force with the potential to revolutionize industries and reshape our understanding of creativity and automation. From its inception, Generative AI has captured the imagination of researchers, developers, and entrepreneurs, offering unprecedented capabilities in generating new data, simulating complex systems, and solving intricate problems that were once considered beyond the reach of machines. This book, "200 Tips for Mastering Generative AI," is a comprehensive guide designed to empower you with the knowledge and practical insights needed to harness the full potential of Generative AI. Whether you are a seasoned AI practitioner, a curious researcher, a forward-thinking entrepreneur, or a passionate enthusiast, this book provides valuable tips and strategies to navigate the vast and intricate world of Generative AI. We invite you to explore, experiment, and innovate with the knowledge you gain from this book. Together, we can unlock the full potential of Generative AI and shape a future where intelligent machines and human creativity coexist and collaborate in unprecedented ways. Welcome to "200 Tips for Mastering Generative AI." Your journey into the fascinating world of Generative AI begins here.

Design and Development of Emerging Chatbot Technology

Author : Darwish, Dina
Publisher : IGI Global
ISBN 13 :
Total Pages : 403 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Design and Development of Emerging Chatbot Technology by : Darwish, Dina

Download or read book Design and Development of Emerging Chatbot Technology written by Darwish, Dina and published by IGI Global. This book was released on 2024-04-09 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the field of information retrieval, the challenge lies in the speed and accuracy with which users can access relevant data. With the increasing complexity of digital interactions, the need for a solution that transcends traditional methods becomes evident. Human involvement and manual investigation are not only time-consuming but also prone to errors, hindering the seamless exchange of information in various sectors. Design and Development of Emerging Chatbot Technology emerges as a comprehensive solution to the predicament posed by traditional information retrieval methods. Focusing on the transformative power of chatbots, it delves into the intricacies of their operation, applications, and development. Designed for academic scholars across diverse disciplines, the book serves as a beacon for those seeking a deeper understanding of chatbots and their potential to revolutionize information retrieval in customer service, education, healthcare, e-commerce, and more.

Building Natural Language Generation Systems

Author : Ehud Reiter
Publisher : Cambridge University Press
ISBN 13 : 0521620368
Total Pages : 274 pages
Book Rating : 4.5/5 (216 download)

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Book Synopsis Building Natural Language Generation Systems by : Ehud Reiter

Download or read book Building Natural Language Generation Systems written by Ehud Reiter and published by Cambridge University Press. This book was released on 2000-01-28 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how to build Natural Language Generation (NLG) systems - computer software systems which use techniques from artificial intelligence and computational linguistics to automatically generate understandable texts in English or other human languages, either in isolation or as part of multimedia documents, Web pages, and speech output systems. Typically starting from some non-linguistic representation of information as input, NLG systems use knowledge about language and the application domain to automatically produce documents, reports, explanations, help messages, and other kinds of texts. The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization, using a case study to show how these components fit together. It also discusses engineering issues such as system architecture, requirements analysis, and the integration of text generation into multimedia and speech output systems.

LLMs

Author : Ronald Legarski
Publisher : SolveForce
ISBN 13 :
Total Pages : 746 pages
Book Rating : 4./5 ( download)

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Book Synopsis LLMs by : Ronald Legarski

Download or read book LLMs written by Ronald Legarski and published by SolveForce. This book was released on 2024-09-01 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: "LLMs: From Origin to Present and Future Applications" by Ronald Legarski is an authoritative exploration of Large Language Models (LLMs) and their profound impact on artificial intelligence, machine learning, and various industries. This comprehensive guide traces the evolution of LLMs from their early beginnings to their current applications, and looks ahead to their future potential across diverse fields. Drawing on extensive research and industry expertise, Ronald Legarski provides readers with a detailed understanding of how LLMs have developed, the technologies that power them, and the transformative possibilities they offer. This book is an invaluable resource for AI professionals, researchers, and enthusiasts who want to grasp the intricacies of LLMs and their applications in the modern world. Key topics include: The Origins of LLMs: A historical perspective on the development of natural language processing and the key milestones that led to the creation of LLMs. Technological Foundations: An in-depth look at the architecture, data processing, and training techniques that underpin LLMs, including transformer models, tokenization, and attention mechanisms. Current Applications: Exploration of how LLMs are being used today in industries such as healthcare, legal services, education, content creation, and more. Ethical Considerations: A discussion on the ethical challenges and societal impacts of deploying LLMs, including bias, fairness, and the need for responsible AI governance. Future Directions: Insights into the future of LLMs, including their role in emerging technologies, interdisciplinary research, and the potential for creating more advanced AI systems. With clear explanations, practical examples, and forward-thinking perspectives, "LLMs: From Origin to Present and Future Applications" equips readers with the knowledge to navigate the rapidly evolving field of AI. Whether you are a seasoned AI professional, a researcher in the field, or someone with an interest in the future of technology, this book offers a thorough exploration of LLMs and their significance in the digital age. Discover how LLMs are reshaping industries, driving innovation, and what the future holds for these powerful AI models.

Digital Personality

Author : Kuldeep Singh Kaswan
Publisher : CRC Press
ISBN 13 : 1040126723
Total Pages : 440 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Digital Personality by : Kuldeep Singh Kaswan

Download or read book Digital Personality written by Kuldeep Singh Kaswan and published by CRC Press. This book was released on 2024-08-30 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: A computer that imbibes human characteristics is considered to have a digital personality. The character is akin to real-life human with his/her distinguishing characteristics such as history, morality, beliefs, abilities, looks, and sociocultural embeddings. It also contains stable personality characteristics; fluctuating emotional, cognitive, SOAR technology, and motivational states. Digital Personality focuses on the creation of systems and interfaces that can observe, sense, predict, adapt to, affect, comprehend, or simulate the following: character based on behavior and situation, behavior based on character and situation, or situation based on character and behavior. Character sensing and profiling, character-aware adaptive systems, and artificial characters are the three primary subfields in digital personality. Digital Personality has attracted the interest of academics from a wide range of disciplines, including psychology, human-computer interaction, and character modeling. It is expected to expand quickly as technology and computer systems become more and more intertwined into our daily lives. Digital Personality is expected to draw at least as much attention as Affective Computing. The goal of affective computing is to enable computers to comprehend both spoken and nonverbal messages from people, use implicit body language, gaze, speech tones, and facial expressions, etc. to infer the emotional state and then reply appropriately or even show affect through interaction modalities. More natural and seamless human-computer connection would be the larger objective. Users will benefit from a more individualized experience as a result. Additionally, this will affect how well the user performs since they will have the assistance of the robots to do their jobs quickly and effectively. This book provides an overview of the character dimensions and how technology is aiding this area of study. It offers a fresh portrayal of character from several angles. It also discusses the applications of this new field of study.

The Book of Chatbots

Author : Robert Ciesla
Publisher : Springer Nature
ISBN 13 : 3031510046
Total Pages : 167 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis The Book of Chatbots by : Robert Ciesla

Download or read book The Book of Chatbots written by Robert Ciesla and published by Springer Nature. This book was released on 2024-01-13 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Primitive software chatbots emerged in the 1960s, evolving swiftly through the decades and becoming able to provide engaging human-to-computer interactions sometime in the 1990s. Today, conversational technology is ubiquitous in many homes. Paired with web-searching abilities and neural networking, modern chatbots are capable of many tasks and are a major driving force behind machine learning and the quest for strong artificial intelligence, also known as artificial general intelligence (AGI). Sophisticated artificial intelligence is changing the online world as advanced software chatbots can provide customer service, research duties, and assist in healthcare. Modern chatbots have indeed numerous applications — including those of a malicious nature. They can write our essays, conduct autonomous scams, and potentially influence politics. The Book of Chatbots is both a retrospective and a review of current artificial intelligence-driven conversational solutions. It explores their appeal to businesses and individuals as well as their greater social aspects, including the impact on academia. The book explains all relevant concepts for readers with no previous knowledge in these topics. Unearthing the secrets of virtual assistants such as the (in)famous ChatGPT and many other exciting technologies, The Book of Chatbots is meant for anyone interested in the topic, laypeople and IT-enthusiasts alike.

ChatGPT Uncovered: A Beginner's Guide to Artificial Intelligence

Author : Callisto Momesso
Publisher : T Turner
ISBN 13 :
Total Pages : 62 pages
Book Rating : 4./5 ( download)

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Book Synopsis ChatGPT Uncovered: A Beginner's Guide to Artificial Intelligence by : Callisto Momesso

Download or read book ChatGPT Uncovered: A Beginner's Guide to Artificial Intelligence written by Callisto Momesso and published by T Turner. This book was released on with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: "ChatGPT Uncovered: A Beginner's Guide to Artificial Intelligence, written by Callisto Momesso, is the perfect book for anyone curious about the world of artificial intelligence and the inner workings of ChatGPT. This book takes a fun and informative approach to demystifying these complex technologies, making it accessible for anyone to understand. Starting with a brief history of AI, the book delves into the basics of natural language processing and machine learning, laying the foundation for understanding ChatGPT and its purpose. The book then goes on to explain the GPT architecture and its components, followed by a detailed look at the training and fine-tuning process of ChatGPT. But it's not just about the technicalities - the book also explores the various applications of ChatGPT, such as text generation, language translation, and content creation. The book also covers the ethical considerations surrounding AI and the potential implications on society. The author, Callisto Momesso, breaks down complex concepts in a way that is easy to understand, making this book the perfect guide for anyone looking to learn about ChatGPT and the future of AI. In addition to providing a comprehensive understanding of ChatGPT, the book also includes a wealth of resources for further learning and exploration, allowing readers to continue their AI education after finishing the book. ChatGPT Uncovered is a must-read for anyone who wants to understand the technology that is shaping our future. Don't be left in the dark about these game-changing technologies - grab a copy of the book and join the AI revolution today!

AI & CHATGPT TOOLS FOR TEACHING LEARNING PROCESS

Author : Dr. Dilipkumar A. Ode, Manochandar S
Publisher : REDSHINE Publication
ISBN 13 : 9173080853
Total Pages : 53 pages
Book Rating : 4.1/5 (73 download)

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Book Synopsis AI & CHATGPT TOOLS FOR TEACHING LEARNING PROCESS by : Dr. Dilipkumar A. Ode, Manochandar S

Download or read book AI & CHATGPT TOOLS FOR TEACHING LEARNING PROCESS written by Dr. Dilipkumar A. Ode, Manochandar S and published by REDSHINE Publication. This book was released on 2024-09-22 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: