Название: 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
Автор: Mugesh S.
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 652
Язык: английский
Формат: epub (true)
Размер: 74.1 MB

Transform Text into Intelligent Conversations with LangChain and GPT. 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. By the end, you'll be equipped to build AI apps that enhance customer engagement, automate workflows, and scale seamlessly. This book is for developers, data scientists, and AI enthusiasts eager to build conversational applications using LangChain and GPT models. While a basic understanding of Python and ML concepts is beneficial, the book offers step-by-step guidance, making it accessible to both beginners and experienced practitioners.

Название: Deep Swarm and Evolution for Generative Artificial Intelligence
Автор: Hitoshi Iba
Издательство: CRC Press
Год: 2025
Формат: pdf, epub
Страниц: 389
Размер: 67.5 Мб
Язык: английский

This book provides theoretical and practical knowledge about swarm and evolutionary approach of generative AI and Large Language Models (LLMs). The development of such tools contributes to better optimizing methodologies with the integration of several machinelearning and deep learning techniques. In particular, it discusses how the “emergence” concept can contribute to the improvement of AI. The book aims to model human cognitive f unction in terms of “emergence” and to explain the feasibility of AI. To this end, it focuses on human perceptions of “utility.” It describes the emergence of various cognitive errors, and irrational behaviours in the multiobjective situations. It also reviews the cognitive differences and similarities between humans and LLMs.

Название: The Python Artisan. Build Practical Projects With Minimal Complexity
Автор: ETHAN.J. CODE
Издательство: ETHAN.J. CODE
Год: 2024
Формат: epub, pdf
Страниц: 167
Размер: 11,30 Мб
Язык: английский

Unlock the power of Python with *The Python Artisan*, your essential guide to mastering one of the most versatile and in-demand programming languages in the world. Whether you're a beginner taking your first steps in coding or an experienced developer looking to deepen your expertise, this book takes you on a comprehensive journey, covering fundamental concepts, advanced techniques, and industry best practices. Dive into real-world applications, with meticulously crafted examples and hands-on exercises that strengthen your problem-solving skills. Learn how to write clean, efficient, and scalable code that adapts seamlessly to complex tasks.

Название: Алгоритмы обработки строк
Автор: Окулов С. М.
Издательство: Лаборатория знаний
Год: 2020 - 4-е изд.
Cтраниц: 258
Формат: pdf (ocr)
Размер: 39 мб
Язык: русский

На материале задачи поиска подстроки в строке, решению которой посвящены работы многих профессионалов за последние 20–30 лет, показано, как построить занятия по информатике, чтобы побудить школьника к творчеству, развить у него вкус к решению исследовательских проблем.

Название: Architecture for Flow: Adaptive Systems with Domain-Driven Design, Wardley Mapping, and Team Topologies (Early Release)
Автор: Susanne Kaiser
Издательство: Pearson/Addison-Wesley Professional
Год: 2025
Страниц: 236
Язык: английский
Формат: epub
Размер: 32.0 MB

In today's rapidly evolving business landscape, the ability to adapt to change is not just advantageous--it's essential for survival. Architecture for Flow presents a groundbreaking holistic approach that integrates business strategy, software architecture, and team organization to create adaptive socio-technical systems optimized for continuous change and feedback. By combining Wardley Mapping, Domain-Driven Design, and Team Topologies, this book offers a comprehensive framework for organizations to anticipate change, unlock blockers to flow, and maintain competitive advantage in an increasingly uncertain world. The book is divided into three parts. The first part describes the fundamentals and concepts of the three perspectives of Wardley Mapping, Domain-Driven Design, and Team Topologies. So, the reader does not have to have prior in-depth knowledge about each perspective. The second part connects the dots between the three perspectives and how they complement and support each other. The third part is about evolving a legacy system by applying the three perspectives.

Название: Mastering the Essentials of Data Analysis Using Python
Автор: John U. Nnoruka
Издательство: Independently published
Год: October 11, 2024
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Unlock the potential of data analysis with this comprehensive, beginner-friendly course, Mastering the Essentials of Data Analysis Using Python. This course is designed for anyone eager to dive into the world of data analysis, even if you have no prior experience. With seven meticulously crafted modules, you'll journey from the basics of Python to advanced data analysis techniques, empowering you with practical skills to make informed decisions using data. Python is widely used for data analysis because of its simplicity, versatility, and a rich ecosystem of powerful libraries such as Pandas, NumPy, Matplotlib, and SciPy. These tools allow for efficient data manipulation, analysis, and visualization. Python’s ability to handle large datasets, automate repetitive tasks, and integrate with various databases and frameworks makes it a top choice for data professionals. Its active community and extensive documentation further enhance its accessibility, ensuring it remains one of the best languages for data analysis and scientific computing.

Название: Android Applications Development: Practical Approach
Автор: Er. Abhishek Bajaj
Издательство: Rigi Publication
Год: 2025
Страниц: 292
Язык: английский
Формат: pdf
Размер: 10.1 MB

"Android Applications Development: Practical Approach" is an essential guide for anyone looking to master Android app development. This book takes a hands-on approach to learning, covering everything from fundamental concepts to advanced techniques required for building real-world, scalable, and user-friendly Android applications. Throughout this book, we'll explore the Android development landscape, including the Android SDK, Android Studio, and the Java programming language. We'll delve into key topics such as user interface design, data storage, networking, and security, providing practical examples and code snippets to illustrate each concept. Whether you are a beginner or an experienced developer, this book offers step-by-step insights into Android development, ensuring you acquire the necessary skills to create robust mobile applications. With real-world examples, case studies, and up-to-date tools and technologies, this book bridges the gap between theory and practical implementation.

Название: Advances in Quantum Inspired Artificial Intelligence: Techniques and Applications
Автор: Satchidananda Dehuri, Monalisa Jena, Sarat Chandra Nayak, Margarita N. Favorskaya, Smaranda Belciug
Издательство: Springer
Год: 2025
Страниц: 247
Язык: английский
Формат: pdf (true), epub
Размер: 23.8 MB

This book advances the Artificial Intelligence (AI) techniques by strongly inspired from Quantum Computing. Quantum Computing (QC), rooted in the mysterious principles of quantum mechanics, has fascinated scientists, researchers, and visionaries for a long time. Its potential lies in changing how we compute, moving from classical bits to quantum bits (qubits), and unlocking incredible processing capabilities. At the same time, Artificial Intelligence (AI) has been on a trajectory of rapid advancement, with Deep Learning becoming proficient at tasks that were once deemed impossible. At this juncture, integrating these two fields through various means can play a pivotal role to bring a technological revolution. Bioinspired algorithms are a class of optimization techniques designed by mimicking different aspects of nature such as natural selection, brain-like processing, collective behavior, and cooperation. Bioinspired techniques have successfully addressed complex challenges across diverse fields like Artificial Intelligence, Data Science, optimization, pattern recognition, and cybersecurity. Quantum computing is a seamless integration of the quantum mechanics concepts and Computer Science algorithms.

Название: Scaling Generative AI: An Operational Readiness Framework for Enterprises
Автор: Amit Prabhu
Издательство: Business Expert Press
Год: 2025
Страниц: 318
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

This book contains the operational readiness framework, providing step-by-step guidance to enterprises to prepare themselves for the scaled adoption of Generative AI. Different enterprises have reacted differently to the Generative AI hype. The real value of Generative AI lies in the scaled adoption. Only 10 percent of the enterprises have been able to scale. A staggering 90 percent of them are lagging. This has caused a "huge gap" between the scaling and lagging firms. Closing this huge gap is a daunting task. This book contains the operational readiness framework, providing step-by-step guidance to enterprises to prepare themselves for the scaled adoption of Generative AI. In a prompt based business architecture, LLMs are developed, pretrained, and fine-tuned with built-in applications provided by the vendor. A user just needs to write prompts to generate the required inference. In application based business architecture, LLMs are developed, pretrained, and fine-tuned by the vendor. But the applications need to be developed by the business before starting to prompt them. In fine-tuning based business architecture, LLMs are developed and pretrained on a large corpus of unlabeled data by the vendor. But the model needs to be fine-tuned and applications need to be developed by the enterprises before applying prompts on them.

Название: Brain Fingerprint Identification
Автор: Wanzeng Kong, Xuanyu Jin
Издательство: Springer
Серия: Brain Informatics and Health
Год: 2025
Страниц: 202
Язык: английский
Формат: pdf (true), epub
Размер: 41.8 MB

This book delves into the emerging field of biometric identification using brainwave patterns. Specifically, this book presents recent advances in electroencephalography (EEG)-based biometric recognition to identify unique neural signatures that can be used for secure authentication and identification. Traditional biometric systems such as fingerprints, iris scans, and face recognition have become integral to security and identification. However, these methods are increasingly vulnerable to spoofing and other forms of attack. Unlike other traditional biometrics, EEG signals are non-invasive, continuous authentication, liveness detection, and resistance to coercion due to the complexity and uniqueness of brain patterns. Therefore, it is particularly suitable for high-security fields such as military and finance, providing a promising alternative for future high-security identification and authentication. Deep Learning has demonstrated a remarkable ability to extract high-level features and uncover complex latent dependencies, making it highly effective for various tasks. However, the success of Deep Learning models typically hinges on the availability of large datasets for training, which poses a significant challenge in real-world applications.