The Language Of Ai

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Linguistics for the Age of AI

Author : Marjorie Mcshane,Sergei Nirenburg
Publisher : MIT Press
Page : 449 pages
File Size : 43,8 Mb
Release : 2021-03-02
Category : Computers
ISBN : 9780262362603

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Linguistics for the Age of AI by Marjorie Mcshane,Sergei Nirenburg Pdf

A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.

The Language of Creative AI

Author : Craig Vear,Fabrizio Poltronieri
Publisher : Springer Nature
Page : 291 pages
File Size : 42,7 Mb
Release : 2022-11-05
Category : Computers
ISBN : 9783031109607

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The Language of Creative AI by Craig Vear,Fabrizio Poltronieri Pdf

Creative AI defines art and media practices that have AI embedded into the process of creation, but also encompass novel AI approaches in the realisation and experience of such work, e.g. robotic art, distributed AI artworks across locations, AI performers, artificial musicians, synthetic images generated by neural networks, AI authors and journalist bots. This book builds on the discourse of AI and creativity and extends the notion of embedded and co-operative creativity with intelligent software. It does so through a human-centred approach in which AI is empowered to make the human experience more creative. It presents ways-of-thinking and doing by the creators themselves so as to add to the ongoing discussion of AI and creativity at a time when the field needs to expand its thinking. This will avoid over-academization of this emerging field, and help counter engrained prejudice and bias. The Language of Creative AI contains technical descriptions, theoretical frameworks, philosophical concepts and practice-based case studies. It is a compendium of thinking around creative AI for technologists, human-computer interaction researchers and artists who are wishing to explore the creative potential of AI.

Deep Natural Language Processing and AI Applications for Industry 5.0

Author : Tanwar, Poonam,Saxena, Arti,Priya, C.
Publisher : IGI Global
Page : 240 pages
File Size : 55,9 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799877301

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Deep Natural Language Processing and AI Applications for Industry 5.0 by Tanwar, Poonam,Saxena, Arti,Priya, C. Pdf

To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer’s life. NLP can be implemented in all those areas where artificial intelligence is applicable either by simplifying the communication process or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.

Practical Natural Language Processing

Author : Sowmya Vajjala,Bodhisattwa Majumder,Anuj Gupta,Harshit Surana
Publisher : O'Reilly Media
Page : 455 pages
File Size : 40,5 Mb
Release : 2020-06-17
Category : Computers
ISBN : 9781492054023

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Practical Natural Language Processing by Sowmya Vajjala,Bodhisattwa Majumder,Anuj Gupta,Harshit Surana Pdf

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective

Natural Language Processing in Artificial Intelligence

Author : Brojo Kishore Mishra,Raghvendra Kumar
Publisher : CRC Press
Page : 297 pages
File Size : 48,8 Mb
Release : 2020-11-01
Category : Science
ISBN : 9781000711318

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Natural Language Processing in Artificial Intelligence by Brojo Kishore Mishra,Raghvendra Kumar Pdf

This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.

The Language of AI

Author : Jim Stephens
Publisher : Independently Published
Page : 0 pages
File Size : 45,8 Mb
Release : 2023-02-17
Category : Electronic
ISBN : 9798377954972

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The Language of AI by Jim Stephens Pdf

ChatGPT is an artificial intelligence language model that has the ability to process and generate human-like text. It is a product of the latest breakthroughs in natural language processing (NLP) and machine learning, which has enabled it to become one of the most advanced language models to date. The development of ChatGPT started with a research paper published in 2018 by OpenAI, a leading research lab in the field of artificial intelligence. In the paper, the researchers introduced a new model called GPT (Generative Pre-trained Transformer) that could generate coherent and human-like text using unsupervised learning. The initial GPT model had 117 million parameters and was pre-trained on a large corpus of text data from the internet. Over time, the researchers at OpenAI continued to improve the GPT model, leading to the development of larger and more sophisticated versions of the model, with up to 1.75 billion parameters. In June 2020, OpenAI released its most advanced version yet, known as GPT-3, which had a whopping 175 billion parameters and was capable of performing an unprecedented number of tasks, including translation, summarization, and even creative writing. ChatGPT is a variant of GPT-3 that has been fine-tuned to specialize in conversational interactions with humans. It has been pre-trained on a large corpus of conversational data, allowing it to understand and generate natural language responses in a conversational setting. When a user inputs a text prompt, ChatGPT uses its pre-trained models to analyze the prompt and generate a response that is likely to be appropriate and relevant to the context. The development of ChatGPT and other advanced language models has brought about a significant shift in the field of NLP and AI. These models have the potential to revolutionize the way humans communicate with machines and with each other, opening up new possibilities for language-based applications and interactions. In the following chapters of this book, we will delve deeper into the technical details of how ChatGPT works, explore its capabilities, and discuss the ethical and societal implications of using such advanced language models. But first, let's take a closer look at how ChatGPT was developed and the research that went into making it a reality.

Philosophy, Language, and Artificial Intelligence

Author : J. Kulas,J.H. Fetzer,T.L. Rankin
Publisher : Springer Science & Business Media
Page : 413 pages
File Size : 42,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9789400927278

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Philosophy, Language, and Artificial Intelligence by J. Kulas,J.H. Fetzer,T.L. Rankin Pdf

This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information and data-processing systems of all kinds, no matter whether human, (other) animal or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and phi losophical psychology through issues in cognitive psychology and socio biology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and computer science. While primary emphasis will be placed upon theoretical, conceptual and epistemologi cal aspects of these problems and domains, empirical, experimental and methodological studies will also appear from time to time. Among the most challenging and difficult projects within the scope of artificial intelligence is the development and implementation of com puter programs suitable for processing natural language. Our purpose in compiling the present volume has been to contribute to the foundations of this enterprise by bringing together classic papers devoted to crucial problems involved in understanding natural language, which range from issues of formal syntax and logical form to those of possible-worlds and situation semantics. The book begins with a comprehensive introduc tion composed by Jack Kulas, the senior editor of this work, which pro vides a systematic orientation to this complex field, and ends with a selected bibliography intended to promote further research. If our efforts assist others in dealing with these problems, they will have been worthwhile. J. H. F.

Paradigms of Artificial Intelligence Programming

Author : Peter Norvig
Publisher : Morgan Kaufmann
Page : 946 pages
File Size : 53,9 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9780080571157

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Paradigms of Artificial Intelligence Programming by Peter Norvig Pdf

Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.

Artificial Intelligence, Culture and Language

Author : Bo Göranzon,Magnus Florin
Publisher : Springer
Page : 296 pages
File Size : 48,5 Mb
Release : 1990
Category : Computers
ISBN : UCAL:B4495255

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Artificial Intelligence, Culture and Language by Bo Göranzon,Magnus Florin Pdf

Build Your Own Lisp

Author : Daniel Holden
Publisher : Createspace Independent Publishing Platform
Page : 0 pages
File Size : 52,8 Mb
Release : 2014-10-22
Category : C++ (Computer program language)
ISBN : 1501006622

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Build Your Own Lisp by Daniel Holden Pdf

If you've ever wondered how to build your own programming language or wanted to learn C but weren't sure where to start, this is the book for you. In under 1000 lines of code you'll start building your very own programming language, and in doing so learn how to program in C, one of the world's most important programming languages. Along the way we'll learn about the weird and wonderful nature of Lisps, the unique techniques behind function programming, the methods used to concisely solve problems, and the art of writing beautiful code. Build Your Own Lisp is a fun and creative journey through a fascinating area of computer science, and an essential read for any programmer, new or old!

Common LISP

Author : Guy Steele
Publisher : Elsevier
Page : 1029 pages
File Size : 51,8 Mb
Release : 1990-06-15
Category : Computers
ISBN : 9780080502267

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Common LISP by Guy Steele Pdf

The defacto standard - a must-have for all LISP programmers. In this greatly expanded edition of the defacto standard, you'll learn about the nearly 200 changes already made since original publication - and find out about gray areas likely to be revised later. Written by the Vice- Chairman of X3J13 (the ANSI committee responsible for the standardization of Common Lisp) and co-developer of the language itself, the new edition contains the entire text of the first edition plus six completely new chapters. They cover: - CLOS, the Common Lisp Object System, with new features to support function overloading and object-oriented programming, plus complete technical specifications * Loops, a powerful control structure for multiple variables * Conditions, a generalization of the error signaling mechanism * Series and generators * Plus other subjects not part of the ANSI standards but of interest to professional programmers. Throughout, you'll find fresh examples, additional clarifications, warnings, and tips - all presented with the author's customary vigor and wit.

Speak AI Decoding the Language Revolution

Author : Mario Capellari
Publisher : Resilientech
Page : 78 pages
File Size : 52,6 Mb
Release : 2024-02-27
Category : Computers
ISBN : 8210379456XXX

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Speak AI Decoding the Language Revolution by Mario Capellari Pdf

Embark on a journey into the heart of artificial intelligence (AI) with a guide designed for those intrigued by AI technologies. This book shines a light on the essentials of AI, emphasizing the groundbreaking impact of Large Language Models (LLMs). It offers a clear pathway to understanding AI's evolution, from its foundational concepts like neural networks and natural language processing to the advanced realms of generative AI that shape our future. Discover how AI is revolutionizing various industries, including healthcare, finance, education, and the arts, demonstrating its potential to transform the world. The narrative also tackles the ethical, privacy, and societal challenges accompanying AI's rise, fostering a dialogue on bias, data privacy, and the evolving landscape of work in an AI-enhanced world. Ideal for AI enthusiasts, professionals seeking to grasp AI's relevance to their fields, and anyone interested in the broader implications of AI technologies, this book provides an insightful introduction to AI and LLMs. It invites readers to explore the opportunities and navigate the changes AI brings, preparing them to thrive amidst the ongoing AI revolution.

Advances in Artificial Intelligence

Author : Martin C. Golumbic
Publisher : Springer Science & Business Media
Page : 315 pages
File Size : 55,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461390527

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Advances in Artificial Intelligence by Martin C. Golumbic Pdf

Research in artificial intelligence, natural language processing and knowledge-based systems has blossomed during the past decade. At national and international symposia as well as in research centers and universities all over the world, these subjects have been the focus of intense debate and study. This is equally true in Israel which has hosted several international forums on these topics. The articles in this book represent a selection of contributions presented at recent AI conferences held in Israel. A theoretical model for a system that learns from its own experience in playing board games is presented in Learning from Experience in Board Games by Ze'ev Ben-Porat and Martin Golumbic. The model enables such a system to enhance and improve its playing capabilities through the use of a learning mechanism which extracts knowledge from actual playing experience. The learning process requires no external guidance or assistance. This model was implemented and tested on a variant of "Chinese Checkers. " The paper shows the feasibility and validity of the proposed model and investigates the parameters that affect its performance traits. The experimental results give evidence of the validity of the model as a powerful learning mechanism. Original and general algorithms for knowledge extraction and pattern matching were designed and tested as part of the prototype computer system. Analysis of the performance characteristics of these algorithms indicates that they can handle large knowledge bases in an efficient manner.

Deep Learning for Coders with fastai and PyTorch

Author : Jeremy Howard,Sylvain Gugger
Publisher : O'Reilly Media
Page : 624 pages
File Size : 51,9 Mb
Release : 2020-06-29
Category : Computers
ISBN : 9781492045496

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Deep Learning for Coders with fastai and PyTorch by Jeremy Howard,Sylvain Gugger Pdf

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications

Author : Chowdhury, Niaz,Chandra Deka, Ganesh
Publisher : IGI Global
Page : 255 pages
File Size : 43,5 Mb
Release : 2020-10-30
Category : Computers
ISBN : 9781799858775

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Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications by Chowdhury, Niaz,Chandra Deka, Ganesh Pdf

Blockchain technology allows value exchange without the need for a central authority and ensures trust powered by its decentralized architecture. As such, the growing use of the internet of things (IoT) and the rise of artificial intelligence (AI) are to be benefited immensely by this technology that can offer devices and applications data security, decentralization, accountability, and reliable authentication. Bringing together blockchain technology, AI, and IoT can allow these tools to complement the strengths and weaknesses of the others and make systems more efficient. Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications deliberates upon prospects of blockchain technology using AI and IoT devices in various application domains. This book contains a comprehensive collection of chapters on machine learning, IoT, and AI in areas that include security issues of IoT, farming, supply chain management, predictive analytics, and natural languages processing. While highlighting these areas, the book is ideally intended for IT industry professionals, students of computer science and software engineering, computer scientists, practitioners, stakeholders, researchers, and academicians interested in updated and advanced research surrounding the functions of blockchain technology in AI and IoT applications across diverse fields of research.