Genai And Llm

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GenAI and LLM

Author : StoryBuddiesPlay
Publisher : StoryBuddiesPlay
ISBN 13 :
Total Pages : 62 pages
Book Rating : 4./5 ( download)

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Book Synopsis GenAI and LLM by : StoryBuddiesPlay

Download or read book GenAI and LLM written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-04-26 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-evolving world of Artificial Intelligence (AI), Generative AI (GenAI) and Large Language Models (LLMs) are emerging as a powerful duo, redefining creativity and innovation. This comprehensive guide delves into the exciting potential of this partnership, exploring how GenAI's ability to generate entirely new content is amplified by the language prowess of LLMs. Unveiling the core concepts of GenAI, you'll discover its applications in various creative fields, from crafting captivating poems to generating realistic images. We'll then shed light on LLMs, explaining how they process and generate human-like text, unlocking a world of possibilities in machine translation, writing assistance, and chatbot development. But the true magic unfolds when GenAI and LLMs join forces. We'll delve into the synergy between these technologies, showcasing how LLMs act as the backbone for GenAI tasks, while GenAI leverages this understanding to produce groundbreaking creative outputs. Explore the power of Generative Pre-trained Transformers (GPTs) and witness the creation of different writing styles, engaging dialogue for chatbots, and even musical pieces – all powered by the combined might of GenAI and LLMs. This guide doesn't shy away from the challenges. We'll explore the ethical considerations surrounding GenAI and LLMs, including potential biases and the importance of responsible development. We'll also address the art of prompt engineering, a crucial skill for guiding these AI models towards desired creative outcomes. Ultimately, this exploration aims to equip you with a comprehensive understanding of GenAI and LLMs. You'll discover how to harness their power for creative endeavors, navigate the ethical landscape, and embrace the exciting possibilities that lie ahead in this new era of human-AI collaboration. So, whether you're a designer, writer, entrepreneur, or simply curious about the future of AI, this guide is your roadmap to unlocking the potential of GenAI and LLMs.

Generative AI with LangChain

Author : Ben Auffarth
Publisher : Packt Publishing Ltd
ISBN 13 : 1835088368
Total Pages : 361 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Generative AI with LangChain by : Ben Auffarth

Download or read book Generative AI with LangChain written by Ben Auffarth and published by Packt Publishing Ltd. This book was released on 2023-12-22 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants. Code examples are regularly updated on GitHub to keep you abreast of the latest LangChain developments. Purchase of the print or Kindle book includes a free PDF eBook. Key Features GitHub repository updated regularly to stay abreast of LangChain developments Delve into the realm of LLMs with LangChain and go on an in-depth exploration of their fundamentals, ethical dimensions, and application challenges Get better at using ChatGPT and GPT models, from heuristics and training to scalable deployment, empowering you to transform ideas into reality Book DescriptionChatGPT and the GPT models by OpenAI have brought about a revolution not only in how we write and research but also in how we can process information. This book discusses the functioning, capabilities, and limitations of LLMs underlying chat systems, including ChatGPT and Bard. It also demonstrates, in a series of practical examples, how to use the LangChain framework to build production-ready and responsive LLM applications for tasks ranging from customer support to software development assistance and data analysis – illustrating the expansive utility of LLMs in real-world applications. Unlock the full potential of LLMs within your projects as you navigate through guidance on fine-tuning, prompt engineering, and best practices for deployment and monitoring in production environments. Whether you're building creative writing tools, developing sophisticated chatbots, or crafting cutting-edge software development aids, this book will be your roadmap to mastering the transformative power of generative AI with confidence and creativity.What you will learn Understand LLMs, their strengths and limitations Grasp generative AI fundamentals and industry trends Create LLM apps with LangChain like question-answering systems and chatbots Understand transformer models and attention mechanisms Automate data analysis and visualization using pandas and Python Grasp prompt engineering to improve performance Fine-tune LLMs and get to know the tools to unleash their power Deploy LLMs as a service with LangChain and apply evaluation strategies Privately interact with documents using open-source LLMs to prevent data leaks Who this book is for The book is for developers, researchers, and anyone interested in learning more about LLMs. Whether you are a beginner or an experienced developer, this book will serve as a valuable resource if you want to get the most out of LLMs and are looking to stay ahead of the curve in the LLMs and LangChain arena. Basic knowledge of Python is a prerequisite, while some prior exposure to machine learning will help you follow along more easily.

Generative AI Security

Author : Ken Huang
Publisher : Springer Nature
ISBN 13 : 3031542525
Total Pages : 367 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Generative AI Security by : Ken Huang

Download or read book Generative AI Security written by Ken Huang and published by Springer Nature. This book was released on with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Building Multi-Tenant SaaS Architectures

Author : Tod Golding
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098140613
Total Pages : 487 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Building Multi-Tenant SaaS Architectures by : Tod Golding

Download or read book Building Multi-Tenant SaaS Architectures written by Tod Golding and published by "O'Reilly Media, Inc.". This book was released on 2024-04-24 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software as a service (SaaS) is on the path to becoming the de facto model for building, delivering, and operating software solutions. Adopting a multi-tenant SaaS model requires builders to take on a broad range of new architecture, implementation, and operational challenges. How data is partitioned, how resources are isolated, how tenants are authenticated, how microservices are built—these are just a few of the many areas that need to be on your radar when you're designing and creating SaaS offerings. In this book, Tod Golding, a global SaaS technical lead at AWS, provides an end-to-end view of the SaaS architectural landscape, outlining the practical techniques, strategies, and patterns that every architect must navigate as part of building a SaaS environment. Describe, classify, and characterize core SaaS patterns and strategies Identify the key building blocks, trade-offs, and considerations that will shape the design and implementation of your multi-tenant solution Examine essential multi-tenant architecture strategies, including tenant isolation, noisy neighbor, data partitioning, onboarding, identity, and multi-tenant DevOps Explore how multi-tenancy influences the design and implementation of microservices Learn how multi-tenancy shapes the operational footprint of your SaaS environment

Large Language Model-Based Solutions

Author : Shreyas Subramanian
Publisher : John Wiley & Sons
ISBN 13 : 1394240732
Total Pages : 322 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Large Language Model-Based Solutions by : Shreyas Subramanian

Download or read book Large Language Model-Based Solutions written by Shreyas Subramanian and published by John Wiley & Sons. This book was released on 2024-04-02 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to build cost-effective apps using Large Language Models In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine tuning. The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. You'll also find: Effective strategies to address the challenge of the high computational cost associated with LLMs Assistance with the complexities of building and deploying affordable generative AI apps, including tuning and inference techniques Selection criteria for choosing a model, with particular consideration given to compact, nimble, and domain-specific models Perfect for developers and data scientists interested in deploying foundational models, or business leaders planning to scale out their use of GenAI, Large Language Model-Based Solutions will also benefit project leaders and managers, technical support staff, and administrators with an interest or stake in the subject.

The Creation of a Conscious Machine

Author : Jean E. Tardy
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501518313
Total Pages : 229 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis The Creation of a Conscious Machine by : Jean E. Tardy

Download or read book The Creation of a Conscious Machine written by Jean E. Tardy and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-12-22 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a groundbreaking journey into the world of Generative AI technology and offers an in-depth look at the prospect of AI achieving consciousness. The book navigates through various historical and modern perspectives on AI, from ancient myths to the Turing Test to the latest in technological advancements. It covers the theoretical and practical aspects of creating a conscious AI, including the specifications for synthetic consciousness and the integration of AI with human cognition. The book questions whether generative AI can meet the traditional criteria of consciousness and how this might be realized. FEATURES Specifies the design choices and implementation strategies that must be followed to successfully build machines that are conscious Explores the entire spectrum of AI development, from ancient origins to the potential future of conscious machines Offers a critical examination of the Turing Test, its variations, and its relevance to modern AI Provides insights into the potential paths and challenges in achieving synthetic consciousness in AI

Introducing MLOps

Author : Mark Treveil
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098116429
Total Pages : 171 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Introducing MLOps by : Mark Treveil

Download or read book Introducing MLOps written by Mark Treveil and published by "O'Reilly Media, Inc.". This book was released on 2020-11-30 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized

The Definitive Guide to Google Vertex AI

Author : Jasmeet Bhatia
Publisher : Packt Publishing Ltd
ISBN 13 : 1801813329
Total Pages : 422 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis The Definitive Guide to Google Vertex AI by : Jasmeet Bhatia

Download or read book The Definitive Guide to Google Vertex AI written by Jasmeet Bhatia and published by Packt Publishing Ltd. This book was released on 2023-12-29 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement machine learning pipelines with Google Cloud Vertex AI Key Features Understand the role of an AI platform and MLOps practices in machine learning projects Get acquainted with Google Vertex AI tools and offerings that help accelerate the creation of end-to-end ML solutions Implement Vision, NLP, and recommendation-based real-world ML models on Google Cloud Platform Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWhile AI has become an integral part of every organization today, the development of large-scale ML solutions and management of complex ML workflows in production continue to pose challenges for many. Google’s unified data and AI platform, Vertex AI, directly addresses these challenges with its array of MLOPs tools designed for overall workflow management. This book is a comprehensive guide that lets you explore Google Vertex AI’s easy-to-advanced level features for end-to-end ML solution development. Throughout this book, you’ll discover how Vertex AI empowers you by providing essential tools for critical tasks, including data management, model building, large-scale experimentations, metadata logging, model deployments, and monitoring. You’ll learn how to harness the full potential of Vertex AI for developing and deploying no-code, low-code, or fully customized ML solutions. This book takes a hands-on approach to developing u deploying some real-world ML solutions on Google Cloud, leveraging key technologies such as Vision, NLP, generative AI, and recommendation systems. Additionally, this book covers pre-built and turnkey solution offerings as well as guidance on seamlessly integrating them into your ML workflows. By the end of this book, you’ll have the confidence to develop and deploy large-scale production-grade ML solutions using the MLOps tooling and best practices from Google.What you will learn Understand the ML lifecycle, challenges, and importance of MLOps Get started with ML model development quickly using Google Vertex AI Manage datasets, artifacts, and experiments Develop no-code, low-code, and custom AI solution on Google Cloud Implement advanced model optimization techniques and tooling Understand pre-built and turnkey AI solution offerings from Google Build and deploy custom ML models for real-world applications Explore the latest generative AI tools within Vertex AI Who this book is for If you are a machine learning practitioner who wants to learn end-to-end ML solution development on Google Cloud Platform using MLOps best practices and tools offered by Google Vertex AI, this is the book for you.

AI and Writing

Author : Sidney I. Dobrin
Publisher : Broadview Press
ISBN 13 : 1770489126
Total Pages : 145 pages
Book Rating : 4.7/5 (74 download)

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Book Synopsis AI and Writing by : Sidney I. Dobrin

Download or read book AI and Writing written by Sidney I. Dobrin and published by Broadview Press. This book was released on 2023-08-18 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI and Writing is an introduction to Generative Artificial Intelligence (GenAI) and its emergent role as a tool for academic, professional, civic, and personal writing. Sid Dobrin examines GenAI from two perspectives: the conceptual and the applied. The conceptual approach addresses the function of GenAI and the ramifications of its use as a writing tool – especially the ethical, social, and material issues it raises. The applied approach offers guidance to assist readers in using GenAI responsibly and authentically. In consideration of the rapid evolution of GenAI and the many unsettled questions about its role, Dobrin leaves room for readers to adapt to shifting technological and institutional conventions. This book is intended for composition and writing-intensive courses, and for any readers with a general or professional interest in the role of GenAI in writing. While it is primarily designed for first-year writing courses, it’s also applicable to courses in advanced writing, professional writing, technical writing, business writing, and writing across the curriculum, as well as writing-intensive courses in other disciplines. In other words, it can be used in any course in which students are required to produce texts.

Talking about Generative AI: A Guide for Educators

Author : Sidney I. Dobrin
Publisher : Broadview Press
ISBN 13 : 1554816505
Total Pages : 37 pages
Book Rating : 4.5/5 (548 download)

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Book Synopsis Talking about Generative AI: A Guide for Educators by : Sidney I. Dobrin

Download or read book Talking about Generative AI: A Guide for Educators written by Sidney I. Dobrin and published by Broadview Press. This book was released on 2023-05-25 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical new resource, available freely to educators and administrators. Instructors and college administrators are grappling with many difficult questions arising from the emergence and public availability of generative AI (GenAI) tools such as ChatGPT: What impact will AI have on post-secondary institutions? Can AI be integrated into higher education in productive and ethical ways? How will teaching and assessment change? What are the implications of AI for professional, institutional, and civic communication? This free resources provides administrators and faculty with fundamental information about GenAI and its bearing on instruction and institutional policies. Eminently practical and informed by the latest (and forthcoming) technical developments, Talking about Generative AI will be a boon to anyone who is suddenly confronted with the problem of how to understand and address GenAI’s impacts.

Academic Integrity in the Age of Artificial Intelligence

Author : Mahmud, Saadia
Publisher : IGI Global
ISBN 13 :
Total Pages : 373 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Academic Integrity in the Age of Artificial Intelligence by : Mahmud, Saadia

Download or read book Academic Integrity in the Age of Artificial Intelligence written by Mahmud, Saadia and published by IGI Global. This book was released on 2024-02-13 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Powerful generative Artificial Intelligence (AI) has defined and transformed our modern era, and the fundamental conceptualization of academia stands at a crossroads. Academic Integrity in the Age of Artificial Intelligence delves deep into the seismic shifts and intricate challenges brought forth by the proliferation of AI technologies, exploring the intricacies between innovation and integrity. The rise of generative AI, exemplified by ChatGPT, has set a cascade of change across diverse sectors, including higher education, medicine, and the arts. This book dissects the multifaceted impact of AI on the academic landscape. With AI's ability to craft text and imagery mirroring human creativity, the lines between authentic scholarship and synthetic deception blur. The book examines the delicate balance between productivity and ethics while weaving a comprehensive tapestry of insights from various stakeholders. From academics grappling with the definition of AI-assisted breaches of academic integrity to policymakers reshaping the future of higher education, this book engages a myriad of voices. It scrutinizes the nascent challenges in assessment design, the urgent need to update antiquated integrity policies, and the importance of research ethics in an AI-driven world. This book is ideal for educators, policymakers, students, and technologists through the complicated terrain of AI ethics.

Transfer, Diffusion and Adoption of Next-Generation Digital Technologies

Author : Sujeet K. Sharma
Publisher : Springer Nature
ISBN 13 : 3031501888
Total Pages : 479 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Transfer, Diffusion and Adoption of Next-Generation Digital Technologies by : Sujeet K. Sharma

Download or read book Transfer, Diffusion and Adoption of Next-Generation Digital Technologies written by Sujeet K. Sharma and published by Springer Nature. This book was released on 2023-12-12 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections: Volume I: Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing. Volume II: Emerging technologies adoption; general IT adoption; healthcare IT adoption. Volume III: Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.

Reinforcement Learning

Author : Phil Winder Ph.D.
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492072346
Total Pages : 517 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Reinforcement Learning by : Phil Winder Ph.D.

Download or read book Reinforcement Learning written by Phil Winder Ph.D. and published by "O'Reilly Media, Inc.". This book was released on 2020-11-06 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself. Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning Dive deep into a range of value and policy gradient methods Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying website

Machine Learning Engineering in Action

Author : Ben Wilson
Publisher : Simon and Schuster
ISBN 13 : 1617298719
Total Pages : 574 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Machine Learning Engineering in Action by : Ben Wilson

Download or read book Machine Learning Engineering in Action written by Ben Wilson and published by Simon and Schuster. This book was released on 2022-04-26 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production. In Machine Learning Engineering in Action, you will learn: Evaluating data science problems to find the most effective solution Scoping a machine learning project for usage expectations and budget Process techniques that minimize wasted effort and speed up production Assessing a project using standardized prototyping work and statistical validation Choosing the right technologies and tools for your project Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you’ll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks. Ben introduces his personal toolbox of techniques for building deployable and maintainable production machine learning systems. You’ll learn the importance of Agile methodologies for fast prototyping and conferring with stakeholders, while developing a new appreciation for the importance of planning. Adopting well-established software development standards will help you deliver better code management, and make it easier to test, scale, and even reuse your machine learning code. Every method is explained in a friendly, peer-to-peer style and illustrated with production-ready source code. About the technology Deliver maximum performance from your models and data. This collection of reproducible techniques will help you build stable data pipelines, efficient application workflows, and maintainable models every time. Based on decades of good software engineering practice, machine learning engineering ensures your ML systems are resilient, adaptable, and perform in production. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the book Machine Learning Engineering in Action teaches you core principles and practices for designing, building, and delivering successful machine learning projects. You’ll discover software engineering techniques like conducting experiments on your prototypes and implementing modular design that result in resilient architectures and consistent cross-team communication. Based on the author’s extensive experience, every method in this book has been used to solve real-world projects. What's inside Scoping a machine learning project for usage expectations and budget Choosing the right technologies for your design Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices About the reader For data scientists who know machine learning and the basics of object-oriented programming. About the author Ben Wilson is Principal Resident Solutions Architect at Databricks, where he developed the Databricks Labs AutoML project, and is an MLflow committer. Table of Contents PART 1 AN INTRODUCTION TO MACHINE LEARNING ENGINEERING 1 What is a machine learning engineer? 2 Your data science could use some engineering 3 Before you model: Planning and scoping a project 4 Before you model: Communication and logistics of projects 5 Experimentation in action: Planning and researching an ML project 6 Experimentation in action: Testing and evaluating a project 7 Experimentation in action: Moving from prototype to MVP 8 Experimentation in action: Finalizing an MVP with MLflow and runtime optimization PART 2 PREPARING FOR PRODUCTION: CREATING MAINTAINABLE ML 9 Modularity for ML: Writing testable and legible code 10 Standards of coding and creating maintainable ML code 11 Model measurement and why it’s so important 12 Holding on to your gains by watching for drift 13 ML development hubris PART 3 DEVELOPING PRODUCTION MACHINE LEARNING CODE 14 Writing production code 15 Quality and acceptance testing 16 Production infrastructure

Textbook of Assisted Reproductive Techniques

Author : David K. Gardner
Publisher : CRC Press
ISBN 13 : 1000933113
Total Pages : 363 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Textbook of Assisted Reproductive Techniques by : David K. Gardner

Download or read book Textbook of Assisted Reproductive Techniques written by David K. Gardner and published by CRC Press. This book was released on 2023-12-13 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Established as the definitive reference for the IVF clinic, the sixth edition has been extensively revised, with the addition of several important new contributions on laboratory topics, including KPIs for the IVF laboratory, Quality control in the cloud, Artificial Intelligence, AI in gamete and embryo selection, Demystifying vitrification, Microfluidics, Gene editing, Disaster management, and Early human embryo development revealed by static imaging. As previously, methods, protocols, and techniques of choice are presented by IVF pioneers and eminent international experts.

LangChain in your Pocket

Author : Mehul Gupta
Publisher : Mehul Gupta
ISBN 13 :
Total Pages : 152 pages
Book Rating : 4./5 ( download)

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Book Synopsis LangChain in your Pocket by : Mehul Gupta

Download or read book LangChain in your Pocket written by Mehul Gupta and published by Mehul Gupta. This book was released on 2024-01-28 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the full potential of Generative AI with "LangChain in your Pocket", a hands-on guide that takes you through the robust LangChain framework. This book provides a step-by-step journey into creating powerful applications, from Auto-SQL and NER to custom Agents and Chains, integrating Memory, OutputParsers, RAG for Q&A, Few-Shot Classification, Evaluators, Autonomous AI agents, Advanced Prompt Engineering and many more. NOTE: Drop an email to [email protected] with the transaction receipt for a free PDF version. Key Features: Step-by-step code explanations with expected outputs for each solution. No prerequisites: If you know Python, you're ready to dive in. Practical, hands-on guide with minimal mathematical explanations. Book Description: Since the arrival of ChatGPT in late 2022, the AI landscape has evolved dramatically. "LangChain in your Pocket" invites you to move beyond ChatGPT and explore the versatility of LangChain, a Python/JavaScript framework at the forefront of Large Language Models (LLMs). Whether you're building Classification models, Storyteller, or Internet-enabled GPT, LangChain empowers you to do more. This beginner-friendly introduction covers: Basics of Large Language Models (LLMs) and why LangChain is pivotal. Hello World tutorial for setting up LangChain and creating baseline applications. In-depth chapters on each LangChain module. Advanced problem-solving, including Multi-Document RAG, Hallucinations, NLP chains, and Evaluation for LLMs for supervised and unsupervised ML problems. Dedicated sections for Few-Shot Learning, Advanced Prompt Engineering using ReAct, Autonomous AI agents, and deployment using LangServe. Who should read it? This book is for anyone keen on exploring AI, especially Generative AI. Whether you're a Software Developer, Data Scientist, Student or Content Writer, the focus on diverse use cases in LangChain and GenAI makes it equally valuable to all. Table of Contents Introduction Hello World Different LangChain Modules Models & Prompts Chains Agents OutputParsers & Memory Callbacks RAG Framework & Vector Databases LangChain for NLP problems Handling LLM Hallucinations Evaluating LLMs Advanced Prompt Engineering Autonomous AI agents LangSmith & LangServe Additional Features

The Creation of a Conscious Machine

Author : Jean E. Tardy
Publisher : Stylus Publishing, LLC
ISBN 13 : 150151833X
Total Pages : 294 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis The Creation of a Conscious Machine by : Jean E. Tardy

Download or read book The Creation of a Conscious Machine written by Jean E. Tardy and published by Stylus Publishing, LLC. This book was released on 2023-12-30 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a groundbreaking journey into the world of Generative AI technology and offers an in-depth look at the prospect of AI achieving consciousness. The book navigates through various historical and modern perspectives on AI, from ancient myths to the Turing Test to the latest in technological advancements. It covers the theoretical and practical aspects of creating a conscious AI, including the specifications for synthetic consciousness and the integration of AI with human cognition. The book questions whether generative AI can meet the traditional criteria of consciousness and how this might be realized. FEATURES Specifies the design choices and implementation strategies that must be followed to successfully build machines that are conscious Explores the entire spectrum of AI development, from ancient origins to the potential future of conscious machines Offers a critical examination of the Turing Test, its variations, and its relevance to modern AI Provides insights into the potential paths and challenges in achieving synthetic consciousness in AI