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LLMs and Generative AI for Healthcare

Author : Kerrie Holley
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098160894
Total Pages : 222 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis LLMs and Generative AI for Healthcare by : Kerrie Holley

Download or read book LLMs and Generative AI for Healthcare written by Kerrie Holley and published by "O'Reilly Media, Inc.". This book was released on 2024-08-20 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare. Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare. With this book, you will: Understand the promise and challenges of LLMs in healthcare Learn the inner workings of LLMs and generative AI Explore automation of healthcare use cases for improved operations and patient care using LLMs Dive into patient experiences and clinical decision-making using generative AI Review future applications in pharmaceutical R&D, public health, and genomics Understand ethical considerations and responsible development of LLMs in healthcare "The authors illustrate generative's impact on drug development, presenting real-world examples of its ability to accelerate processes and improve outcomes across the pharmaceutical industry."--Harsh Pandey, VP, Data Analytics & Business Insights, Medidata-Dassault Kerrie Holley is a retired Google tech executive, IBM Fellow, and VP/CTO at Cisco. Holley's extensive experience includes serving as the first Technology Fellow at United Health Group (UHG), Optum, where he focused on advancing and applying AI, deep learning, and natural language processing in healthcare. Manish Mathur brings over two decades of expertise at the crossroads of healthcare and technology. A former executive at Google and Johnson & Johnson, he now serves as an independent consultant and advisor. He guides payers, providers, and life sciences companies in crafting cutting-edge healthcare solutions.

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.

Building LLM Powered Applications

Author : Valentina Alto
Publisher : Packt Publishing Ltd
ISBN 13 : 1835462634
Total Pages : 343 pages
Book Rating : 4.8/5 (354 download)

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Book Synopsis Building LLM Powered Applications by : Valentina Alto

Download or read book Building LLM Powered Applications written by Valentina Alto and published by Packt Publishing Ltd. This book was released on 2024-05-22 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applications Key Features Embed LLMs into real-world applications Use LangChain to orchestrate LLMs and their components within applications Grasp basic and advanced techniques of prompt engineering Book DescriptionBuilding LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer, ultimately paving the way for the emergence of large foundation models (LFMs) that extend the boundaries of AI capabilities. The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio. Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.What you will learn Explore the core components of LLM architecture, including encoder-decoder blocks and embeddings Understand the unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLM Use AI orchestrators like LangChain, with Streamlit for the frontend Get familiar with LLM components such as memory, prompts, and tools Learn how to use non-parametric knowledge and vector databases Understand the implications of LFMs for AI research and industry applications Customize your LLMs with fine tuning Learn about the ethical implications of LLM-powered applications Who this book is for Software engineers and data scientists who want hands-on guidance for applying LLMs to build applications. The book will also appeal to technical leaders, students, and researchers interested in applied LLM topics. We don’t assume previous experience with LLM specifically. But readers should have core ML/software engineering fundamentals to understand and apply the content.

The LLM Advantage: How to Unlock the Power of Language Models for Business Success

Author : Asish Dash
Publisher : Grazing Minds Publishing
ISBN 13 :
Total Pages : 126 pages
Book Rating : 4.2/5 (237 download)

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Book Synopsis The LLM Advantage: How to Unlock the Power of Language Models for Business Success by : Asish Dash

Download or read book The LLM Advantage: How to Unlock the Power of Language Models for Business Success written by Asish Dash and published by Grazing Minds Publishing. This book was released on 2023-11-10 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The LLM Advantage: How to Harness the Power of Language, Logic, and Math Models for Your Business Success" is a comprehensive guide for individuals navigating the dynamic landscape of 21st-century business. Authored by Asish Dash, an experienced investor and entrepreneur with over a decade in technology startups, this book delves into the transformative realm of artificial intelligence, natural language processing, and data science. From ideation to execution to optimization, readers will explore the crucial role of Language, Logic, and Math Models (LLMs) in generating ideas, validating assumptions, building products, attracting customers, and improving overall business performance. Through real-world examples featuring prominent LLMs like GPT-3, BERT, and OpenAI Codex, the book illustrates how these models can interact with and understand natural language. It also examines the profound impact of LLMs on diverse business aspects, including product development, marketing, customer service, operations, strategy, and management. With insights from both successful and unsuccessful entrepreneurs, readers will gain valuable perspectives on navigating the opportunities and challenges posed by LLMs. The book provides a roadmap for developing the mindset, skills, and attributes of an LLM entrepreneur, offering practical tips, tools, and case studies for leveraging LLMs in business projects. Additionally, it addresses the ethical, legal, and technical considerations inherent in LLM entrepreneurship, guiding readers on best practices and risk mitigation. Closing with a forward-looking exploration of untapped potentials and emerging trends in LLM entrepreneurship, the book equips readers to discover new markets, industries, and innovations. The concluding chapter summarizes key takeaways, providing encouragement, inspiration, and resources for further exploration.

Mastering LLM Applications with LangChain and Hugging Face

Author : Hunaidkhan Pathan
Publisher : BPB Publications
ISBN 13 : 9365891043
Total Pages : 306 pages
Book Rating : 4.3/5 (658 download)

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Book Synopsis Mastering LLM Applications with LangChain and Hugging Face by : Hunaidkhan Pathan

Download or read book Mastering LLM Applications with LangChain and Hugging Face written by Hunaidkhan Pathan and published by BPB Publications. This book was released on 2024-09-21 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION The book is all about the basics of NLP, generative AI, and their specific component LLM. In this book, we have provided conceptual knowledge about different terminologies and concepts of NLP and NLG with practical hands-on. This comprehensive book offers a deep dive into the world of NLP and LLMs. Starting with the fundamentals of Python programming and code editors, the book gradually introduces NLP concepts, including text preprocessing, word embeddings, and transformer architectures. You will explore the architecture and capabilities of popular models like GPT-3 and BERT. The book also covers practical aspects of LLM usage for RAG applications using frameworks like LangChain and Hugging Face and deploying them in real world applications. With a focus on both theoretical knowledge and hands-on experience, this book is ideal for anyone looking to master the art of NLP and LLMs. The book also contains AWS Cloud deployment, which will help readers step into the world of cloud computing. As the book contains both theoretical and practical approaches, it will help the readers to gain confidence in the deployment of LLMs for any use cases, as well as get acquainted with the required generative AI knowledge to crack the interviews. KEY FEATURES ● Covers Python basics, NLP concepts, and terminologies, including LLM and RAG concepts. ● Provides exposure to LangChain, Hugging Face ecosystem, and chatbot creation using custom data. ● Guides on integrating chatbots with real-time applications and deploying them on AWS Cloud. WHAT YOU WILL LEARN ● Basics of Python, which contains Python concepts, installation, and code editors. ● Foundation of NLP and generative AI concepts and different terminologies being used in NLP and generative AI domain. ● LLMs and their importance in the cutting edge of AI. ● Creating chatbots using custom data using open source LLMs without spending a single penny. ● Integration of chatbots with real-world applications like Telegram. WHO THIS BOOK IS FOR This book is ideal for beginners and freshers entering the AI or ML field, as well as those at an intermediate level looking to deepen their understanding of generative AI, LLMs, and cloud deployment. TABLE OF CONTENTS 1. Introduction to Python and Code Editors 2. Installation of Python, Required Packages, and Code Editors 3. Ways to Run Python Scripts 4. Introduction to NLP and its Concepts 5. Introduction to Large Language Models 6. Introduction of LangChain, Usage and Importance 7. Introduction of Hugging Face, its Usage and Importance 8. Creating Chatbots Using Custom Data with LangChain and Hugging Face Hub 9. Hyperparameter Tuning and Fine Tuning Pre-Trained Models 10. Integrating LLMs into Real-World Applications–Case Studies 11. Deploying LLMs in Cloud Environments for Scalability 12. Future Directions: Advances in LLMs and Beyond Appendix A: Useful Tips for Efficient LLM Experimentation Appendix B: Resources and References

LLM Architectures - A Comprehensive Guide: BERT, BART, XLNET

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4./5 ( download)

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Book Synopsis LLM Architectures - A Comprehensive Guide: BERT, BART, XLNET by : Anand Vemula

Download or read book LLM Architectures - A Comprehensive Guide: BERT, BART, XLNET written by Anand Vemula and published by Anand Vemula. This book was released on with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystifying the Power of Large Language Models: A Guide for Everyone Large Language Models (LLMs) are revolutionizing the way we interact with machines and information. This comprehensive guide unveils the fascinating world of LLMs, guiding you from their fundamental concepts to their cutting-edge applications. Master the Basics: Explore the foundational architectures like Recurrent Neural Networks (RNNs) and Transformers that power LLMs. Gain a clear understanding of how these models process and understand language. Deep Dives into Pioneering Architectures: Delve into the specifics of BERT, BART, and XLNet, three groundbreaking LLM architectures. Learn about their unique pre-training techniques and how they tackle various natural language processing tasks. Unveiling the Champions: A Comparative Analysis: Discover how these leading LLM architectures stack up against each other. Explore performance benchmarks and uncover the strengths and weaknesses of each model to understand which one is best suited for your specific needs. Emerging Frontiers: Charting the Course for the Future: Explore the exciting trends shaping the future of LLMs. Learn about the quest for ever-larger models, the growing focus on training efficiency, and the development of specialized architectures for tasks like question answering and dialogue systems. This book is not just about technical details. It provides real-world case studies and use cases, showcasing how LLMs are transforming various industries, from content creation and customer service to healthcare and education. With clear explanations and a conversational tone, this guide is perfect for anyone who wants to understand the power of LLMs and their potential impact on our world. Whether you're a tech enthusiast, a student, or a professional curious about the future of AI, this book is your one-stop guide to demystifying Large Language Models.

Large Language Models - LLM and API's

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4./5 ( download)

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Book Synopsis Large Language Models - LLM and API's by : Anand Vemula

Download or read book Large Language Models - LLM and API's written by Anand Vemula and published by Anand Vemula. This book was released on with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Large Language Models API represents a transformative advancement in natural language processing (NLP), offering developers unparalleled access to state-of-the-art language models such as GPT-3. This API serves as a gateway to immense computational power and linguistic capabilities, empowering applications across diverse domains. At its core, the API provides seamless integration with existing software systems, enabling developers to harness the power of large language models without the complexities of model training and infrastructure management. By simply sending text inputs to the API, developers can receive rich, context-aware responses, opening new avenues for innovation in human-computer interaction. The API's capabilities span a wide range of tasks, including text generation, summarization, translation, sentiment analysis, and more. Whether automating content creation, enhancing customer service experiences, or powering virtual assistants, the API offers versatile solutions tailored to various use cases. Key features of the Large Language Models API include robust performance, scalability, and reliability. With access to vast amounts of training data and sophisticated neural network architectures, the API consistently delivers high-quality results across different languages and domains. Additionally, its scalable infrastructure ensures smooth operation even under heavy workloads, making it suitable for applications of any scale. Ethical considerations are paramount in AI development, and the API prioritizes responsible usage through features such as content moderation and bias detection. Developers can leverage these tools to mitigate the risks of misinformation, bias, and privacy violations, fostering trust and integrity in their applications. The API's documentation and developer resources provide comprehensive guidance for integration and usage, catering to developers of all skill levels. Additionally, community support and online forums offer opportunities for collaboration and knowledge sharing, driving innovation and collective learning. As the field of NLP continues to evolve, the Large Language Models API remains at the forefront of innovation, with ongoing updates and improvements to meet the evolving needs of developers and users alike. By leveraging the API's capabilities responsibly and creatively, developers can unlock new possibilities and redefine the boundaries of human-computer interaction.

Building LLM Applications with Python: A Practical Guide

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 42 pages
Book Rating : 4./5 ( download)

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Book Synopsis Building LLM Applications with Python: A Practical Guide by : Anand Vemula

Download or read book Building LLM Applications with Python: A Practical Guide written by Anand Vemula and published by Anand Vemula. This book was released on with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book equips you to harness the remarkable capabilities of Large Language Models (LLMs) using Python. Part I unveils the world of LLMs. You'll delve into their inner workings, explore different LLM types, and discover their exciting applications in various fields. Part II dives into the practical side of things. We'll guide you through setting up your Python environment and interacting with LLMs. Learn to craft effective prompts to get the most out of LLMs and understand the different response formats they can generate. Part III gets you building! We'll explore how to leverage LLMs for creative text generation, from poems and scripts to code snippets. Craft effective question-answering systems and build engaging chatbots – the possibilities are endless! Part IV empowers you to maintain and improve your LLM creations. We'll delve into debugging techniques to identify and resolve issues. Learn to track performance and implement optimizations to ensure your LLM applications run smoothly. This book doesn't shy away from the bigger picture. The final chapter explores the ethical considerations of LLMs, addressing bias and promoting responsible use of this powerful technology. By the end of this journey, you'll be equipped to unlock the potential of LLMs with Python and contribute to a future brimming with exciting possibilities.

AgentScope A Guide to Building Multi-Agent LLM Applications

Author : StoryBuddiesPlay
Publisher : StoryBuddiesPlay
ISBN 13 :
Total Pages : 99 pages
Book Rating : 4./5 ( download)

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Book Synopsis AgentScope A Guide to Building Multi-Agent LLM Applications by : StoryBuddiesPlay

Download or read book AgentScope A Guide to Building Multi-Agent LLM Applications written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-05-14 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the power of collaboration with AgentScope, a comprehensive platform designed to streamline the development of multi-agent Large Language Model (LLM) applications. This in-depth guide equips you with everything you need to know to leverage AgentScope's functionalities and build intelligent, scalable AI systems. Embrace the Future of AI: Multi-Agent Collaboration Made Easy AgentScope empowers you to construct a team of specialized LLMs, each with its own strengths and expertise. Imagine a system where one agent analyzes customer reviews for sentiment, another identifies key themes, and a third generates a comprehensive report – all working together seamlessly. This is the power of multi-agent LLMs, and AgentScope simplifies the process of bringing it to life. Dive Deep into AgentScope: From Agent Definition to Orchestrated Workflows This comprehensive guide takes you on a journey through the functionalities of AgentScope. Learn how to define and configure your agents, specifying their roles, LLM models, and communication protocols. Explore how to orchestrate tasks, ensuring a smooth workflow where subtasks are completed in the correct order and dependencies are managed effectively. Conquer Challenges: Error Handling, Security, and Explainability The guide doesn't shy away from the real-world considerations of multi-agent systems. Address potential errors and exceptions with AgentScope's robust error handling mechanisms. Safeguard your LLM application with built-in security features like authentication and data encryption. Foster trust and transparency by incorporating Explainable AI (XAI) techniques to understand the decision-making processes within your multi-agent system. Scale to New Heights: Optimizing Performance for Large Tasks As your LLM application tackles more complex tasks and works with ever-growing datasets, AgentScope provides the tools you need to maintain optimal performance. Discover strategies for resource allocation, communication optimization, and utilizing scalable LLM architectures. Employ monitoring and analytics to identify bottlenecks and ensure your multi-agent system continues to function efficiently. A Glimpse into the Future: Pioneering Applications with AgentScope Look ahead and explore the exciting potential of multi-agent LLM systems. Imagine AI-powered scientific discovery, personalized education, intelligent content creation, and advanced conversational AI for businesses – these are just a few possibilities on the horizon. AgentScope equips you to be a part of this revolution, empowering you to build groundbreaking applications that leverage the power of collaborative intelligence. Start Building Today: Unleash the Potential of Multi-Agent LLMs with AgentScope This guide provides a roadmap for your journey into the world of multi-agent LLM development with AgentScope. With its user-friendly interface, comprehensive documentation, and expansive capabilities, AgentScope makes complex AI development accessible. So, what are you waiting for? Start building the future of AI today!

The LLM Toolkit: Fine-Tuning, Hyperparameter Tuning, and Building Hierarchical Classifiers

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4./5 ( download)

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Book Synopsis The LLM Toolkit: Fine-Tuning, Hyperparameter Tuning, and Building Hierarchical Classifiers by : Anand Vemula

Download or read book The LLM Toolkit: Fine-Tuning, Hyperparameter Tuning, and Building Hierarchical Classifiers written by Anand Vemula and published by Anand Vemula. This book was released on with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of artificial intelligence, large language models (LLMs) have become powerful tools for understanding and manipulating language. However, unlocking their full potential requires a deeper understanding of fine-tuning, hyperparameter optimization, and hierarchical classification techniques. The LLM Toolkit equips you with a comprehensive guide to take your LLMs to the next level. This book delves into the concept of fine-tuning, explaining how to adapt pre-trained LLMs to specific tasks, such as text classification or question answering. You'll explore various techniques for fine-tuning, including freezing and unfreezing layers, along with strategies for selecting and augmenting task-specific training data. Next, the book tackles the crucial topic of hyperparameter optimization. LLMs have numerous parameters that can significantly impact their performance. This section guides you through the challenges of optimizing these hyperparameters, including the high computational cost and vast search space. You'll discover common techniques like grid search, random search, and Bayesian optimization, along with their strengths and limitations. The book also explores the potential of using LLMs themselves to streamline hyperparameter optimization, paving the way for more efficient fine-tuning processes. Finally, the book dives into hierarchical classification, a powerful approach for categorizing data with inherent hierarchical structures. You'll learn how to leverage LLMs to build hierarchical classifiers, exploring both multi-stage and tree-based approaches. The book delves into the benefits of hierarchical classification for LLMs, including improved accuracy and better handling of ambiguous or noisy data. The LLM Toolkit is your one-stop shop for mastering these advanced LLM techniques. Whether you're a researcher, developer, or simply interested in pushing the boundaries of language models, this book equips you with the practical knowledge and tools to unlock the full potential of LLMs and achieve cutting-edge results in your field.

The Language Architect: Building the Future with Mistral LLM

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 25 pages
Book Rating : 4./5 ( download)

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Book Synopsis The Language Architect: Building the Future with Mistral LLM by : Anand Vemula

Download or read book The Language Architect: Building the Future with Mistral LLM written by Anand Vemula and published by Anand Vemula. This book was released on with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Language Architect: Building the Future with Mistral LLM Unlock the potential of language and co-create the future with Mistral LLM, a revolutionary large language model. In "The Language Architect: Building the Future with Mistral LLM," you'll embark on a journey into the exciting world of large language models (LLMs) and delve into the capabilities of Mistral LLM, a powerful AI tool that's shaping the future of communication. This book is your comprehensive guide to understanding Mistral LLM. You'll explore its inner workings, from its innovative architecture to its impressive multilingual abilities. Master the Fundamentals: Gain a solid understanding of LLMs and how they revolutionize human-computer interaction. Dive into Mistral LLM: Explore the technical aspects of Mistral, including its decoder-only transformer model, efficiency techniques, and training processes. Unleash the Power of Words: Discover how Mistral LLM can generate creative text formats, translate languages with accuracy, and answer your questions in informative ways. Become a Language Architect: Learn how to leverage Mistral LLM for various applications, from crafting compelling content to creating chatbots and virtual assistants. But "The Language Architect" goes beyond just technical understanding. It emphasizes the responsible development and use of LLMs. Navigate Ethical Considerations: Explore the potential biases and limitations of LLMs and how Mistral prioritizes safety and ethical AI practices. Forge a Human-Machine Partnership: Discover how to collaborate with Mistral LLM to achieve exceptional results while ensuring responsible use of this powerful technology. This book is for anyone interested in the future of language and AI. Whether you're a writer, programmer, entrepreneur, or simply curious about technological advancements, "The Language Architect" equips you with the knowledge and insights to become a co-architect of the future, working alongside Mistral LLM to unlock its potential for positive change.

Generative AI for Effective Software Development

Author : Anh Nguyen-Duc
Publisher : Springer Nature
ISBN 13 : 3031556429
Total Pages : 346 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Generative AI for Effective Software Development by : Anh Nguyen-Duc

Download or read book Generative AI for Effective Software Development written by Anh Nguyen-Duc and published by Springer Nature. This book was released on with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Generative Intelligence and Intelligent Tutoring Systems

Author : Angelo Sifaleras
Publisher : Springer Nature
ISBN 13 : 3031630289
Total Pages : 450 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Generative Intelligence and Intelligent Tutoring Systems by : Angelo Sifaleras

Download or read book Generative Intelligence and Intelligent Tutoring Systems written by Angelo Sifaleras and published by Springer Nature. This book was released on with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mastering NLP from Foundations to LLMs

Author : Lior Gazit
Publisher : Packt Publishing Ltd
ISBN 13 : 1804616389
Total Pages : 340 pages
Book Rating : 4.8/5 (46 download)

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Book Synopsis Mastering NLP from Foundations to LLMs by : Lior Gazit

Download or read book Mastering NLP from Foundations to LLMs written by Lior Gazit and published by Packt Publishing Ltd. This book was released on 2024-04-26 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into current and future trends Key Features Learn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPT Master embedding techniques and machine learning principles for real-world applications Understand the mathematical foundations of NLP and deep learning designs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDo you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.What you will learn Master the mathematical foundations of machine learning and NLP Implement advanced techniques for preprocessing text data and analysis Design ML-NLP systems in Python Model and classify text using traditional machine learning and deep learning methods Understand the theory and design of LLMs and their implementation for various applications in AI Explore NLP insights, trends, and expert opinions on its future direction and potential Who this book is for This book is for deep learning and machine learning researchers, NLP practitioners, ML/NLP educators, and STEM students. Professionals working with text data as part of their projects will also find plenty of useful information in this book. Beginner-level familiarity with machine learning and a basic working knowledge of Python will help you get the best out of this book.

Systems, Software and Services Process Improvement

Author : Murat Yilmaz
Publisher : Springer Nature
ISBN 13 : 3031711394
Total Pages : 469 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Systems, Software and Services Process Improvement by : Murat Yilmaz

Download or read book Systems, Software and Services Process Improvement written by Murat Yilmaz and published by Springer Nature. This book was released on with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Deep Learning Architect's Handbook

Author : Ee Kin Chin
Publisher : Packt Publishing Ltd
ISBN 13 : 1803235349
Total Pages : 516 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis The Deep Learning Architect's Handbook by : Ee Kin Chin

Download or read book The Deep Learning Architect's Handbook written by Ee Kin Chin and published by Packt Publishing Ltd. This book was released on 2023-12-29 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the power of deep learning to drive productivity and efficiency using this practical guide covering techniques and best practices for the entire deep learning life cycle Key Features Interpret your models’ decision-making process, ensuring transparency and trust in your AI-powered solutions Gain hands-on experience in every step of the deep learning life cycle Explore case studies and solutions for deploying DL models while addressing scalability, data drift, and ethical considerations Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDeep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives. This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You’ll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency. As you progress, you’ll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You’ll also discover the transformative potential of large language models (LLMs) for a wide array of applications. By the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors.What you will learn Use neural architecture search (NAS) to automate the design of artificial neural networks (ANNs) Implement recurrent neural networks (RNNs), convolutional neural networks (CNNs), BERT, transformers, and more to build your model Deal with multi-modal data drift in a production environment Evaluate the quality and bias of your models Explore techniques to protect your model from adversarial attacks Get to grips with deploying a model with DataRobot AutoML Who this book is for This book is for deep learning practitioners, data scientists, and machine learning developers who want to explore deep learning architectures to solve complex business problems. Professionals in the broader deep learning and AI space will also benefit from the insights provided, applicable across a variety of business use cases. Working knowledge of Python programming and a basic understanding of deep learning techniques is needed to get started with this book.

Computational Science and Its Applications -- ICCSA 2004

Author : Antonio Laganà
Publisher : Springer Science & Business Media
ISBN 13 : 3540220542
Total Pages : 1231 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Computational Science and Its Applications -- ICCSA 2004 by : Antonio Laganà

Download or read book Computational Science and Its Applications -- ICCSA 2004 written by Antonio Laganà and published by Springer Science & Business Media. This book was released on 2004-05-07 with total page 1231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set LNCS 3043-3046 constitutes the refereed proceedings of the International Conference on Computational Science and its Applications, ICCSA 2004, held in Assisi, Italy in May 2004. The four volumes present a total of 460 revised reviewed papers selected from numerous submissions. The proceedings spans the whole range of computational science from foundational issues in computer science and mathematics to advanced applications in virtually all sciences making use of computational techniques. The four volumes give a unique account of recent results in the area.