AI/ML in meteorology

Prompt Engineering for LLMs by John Berryman In particular, you should understand that this book isn’t going to be all about how to do nitpicky wording of a single prompt to get one good completion. Sure, we’ll cover that, and we’ll cover in detail all the things you need to do to generate high-quality completions that serve their intended purpose. But when we say, “prompt engineering,” we mean building the entire LLM-based application. The LLM application serves as a transformation layer, iteratively and statefully converting real-world needs into text that LLMs can address and then converting the data provided by the LLMs into information and action that address those real-world needs.

AI Engineering by Chip Huyen Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models. The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach. AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications. Understand what AI engineering is and how it differs from traditional machine learning engineering Learn the process for developing an AI application, the challenges at each step, and approaches to address them Explore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they work Examine the bottlenecks for latency and cost when serving foundation models and learn how to overcome them Choose the right model, dataset, evaluation benchmarks, and metrics for your needs Chip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. She's the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI. AI Engineering builds upon and is complementary to Designing Machine Learning Systems (O'Reilly).

Artificial Intelligence in Earth Science by Ziheng Sun (Editor); Nicoleta Cristea (Editor); Pablo Rivas (Editor) Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges provides a comprehensive, step-by-step guide to AI workflows for solving problems in Earth Science. The book focuses on the most challenging problems in applying AI in Earth system sciences, such as training data preparation, model selection, hyperparameter tuning, model structure optimization, spatiotemporal generalization, transforming model results into products, and explaining trained models. In addition, it provides full-stack workflow tutorials to help walk readers through the whole process, regardless of previous AI experience. The book tackles the complexity of Earth system problems in AI engineering, fully guiding geoscientists who are planning to implement AI in their daily work. Provides practical, step-by-step guides for Earth Scientists who are interested in implementing AI techniques in their work Features case studies to show real-world examples of techniques described in the book Includes additional elements to help readers who are new to AI, including end-of-chapter, key concept bulleted lists that concisely cover key concepts in the chapter

Artificial Intelligence Oceanography by Xiaofeng Li (Editor); Fan Wang (Editor) This book invites readers to learn how to develop artificial intelligence (AI)-based algorithms to perform their research in oceanography. Various examples are exhibited to guide details of how to feed the big ocean data into the AI models to analyze and achieve optimized results. The number of scholars engaged in AI oceanography research will increase exponentially in the next decade. Therefore, this book will serve as a benchmark providing insights for scholars and graduate students interested in oceanography, computer science, and remote sensing. 

Building LLM Powered Applications by Valentina Alto 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 Description Building 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.

Irreplaceable by Pascal Bornet; Christopher P. Brown (Narrated by) Pascal Bornet, an award-winning AI expert, former McKinsey executive, and Top Voice in Technology with over 1 million LinkedIn followers, unveils the ultimate guide for working, living, and leading organizations in a rapidly changing, AI-driven world.With over twenty years of pioneering research at the human-AI intersection, Bornet reveals the secrets to living in harmony with AI while cultivating uniquely human qualities. He introduces the Three Competencies of the Future that we need to develop urgently to thrive in our new world.In IRREPLACEABLE, you will discover techniques to boost your career using AI-without losing your job to automation; secrets to unlocking your uniquely human abilities-ones AI can never replicate; counterintuitive methods to raise Future-ready children; strategies to avoid falling into the "AI Obesity" trap; and blueprints for leveraging AI to turn your company into an unstoppable force of innovation.Whether you're an individual looking to future-proof your career, a parent aiming to raise future-proof children, or a business leader eager to steer your organization through technological disruption, IRREPLACEABLE offers a universal and comprehensive framework.

The AI Mirror by Shannon Vallor For many, technology offers hope for the future--that promise of shared human flourishing and liberation that always seems to elude our species. Artificial intelligence (AI) technologies spark this hope in a particular way. They promise a future in which human limits and frailties are finally overcome--not by us, but by our machines. Yet rather than open new futures, today's powerful AI technologies reproduce the past. Forged from oceans of our data into immensely powerful but flawed mirrors, they reflect the same errors, biases, and failures of wisdom that we strive to escape. Our new digital mirrors point backward. They show only where the data say that we have already been, never where we might venture together for the first time. To meet today's grave challenges to our species and our planet, we will need something new from AI, and from ourselves. Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

The AI-Savvy Leader by David De Cremer; David Marantz (Narrated by) Leaders, don't let AI get the best of you.AI is coming fast and will affect every part of a business, including the role of the leader. And up until now, leaders have largely ceded their role in the transformation-pushing determination of strategy out to tech teams and leaving investment decisions with groups that don't have a full view of the organization. Just when responsible leadership is more imperative than ever, leaders are not stepping up to understand and execute in the new world of human-machine collaboration. A generation of AI transformation failures awaits if leaders don't connect their use of AI to their strategies.This book helps leaders retake control of the wildly rapid deployment of AI across organizations. It outlines cleanly and concisely nine actions leaders need to take to successfully steward a transition to a more AI-centric future that will lead to growth for all-companies and workers-and avoid the kinds of mistakes that author David De Cremer has seen many early adopters already make. This is not a book about AI technology itself or the latest developments in machine learning but rather a clarion call for leaders to take their rightful place at the front of the AI revolution and lead their organization into the new world.

AI Unveiled by Sinan Ozdemir AI Unveiled, hosted by Sinan Ozdemir, is an in-depth audio series that explores the multifaceted realm of artificial intelligence. The show guides listeners through the technical intricacies of AI, the ethical dilemmas, and the legal implications of AI training data, touching upon issues like copyright infringement and intellectual property rights. Not shying away from the controversies, the series also investigates the line between moderation and censorship in AI outputs. Join Sinan as he pulls back the curtain on the challenges and ethical quandaries inherent in developing, fine-tuning, and deploying AI, all while shedding light on the future opportunities and risks.

Code dependent : living in the shadow of AI by Madhumita Murgia Shortlisted for the Women's Prize for Non-Fiction A riveting story of what it means to be human in a world changed by artificial intelligence, revealing the perils and inequities of our growing reliance on automated decision-making On the surface, a British poet, an UberEats courier in Pittsburgh, an Indian doctor, and a Chinese activist in exile have nothing in common. But they are in fact linked by a profound common experience--unexpected encounters with artificial intelligence. In Code Dependent , Murgia shows how automated systems are reshaping our lives all over the world, from technology that marks children as future criminals, to an app that is helping to give diagnoses to a remote tribal community. AI has already infiltrated our day-to-day, through language-generating chatbots like ChatGPT and social media. But it's also affecting us in more insidious ways. It touches everything from our interpersonal relationships, to our kids' education, work, finances, public services, and even our human rights. By highlighting the voices of ordinary people in places far removed from the cozy enclave of Silicon Valley, Code Dependent explores the impact of a set of powerful, flawed, and often-exploitative technologies on individuals, communities, and our wider society. Murgia exposes how AI can strip away our collective and individual sense of agency, and shatter our illusion of free will. The ways in which algorithms and their effects are governed over the coming years will profoundly impact us all. Yet we can't agree on a common path forward. We cannot decide what preferences and morals we want to encode in these entities--or what controls we may want to impose on them. And thus, we are collectively relinquishing our moral authority to machines. In Code Dependent , Murgia not only sheds light on this chilling phenomenon, but also charts a path of resistance. AI is already changing what it means to be human, in ways large and small, and Murgia reveals what could happen if we fail to reclaim our humanity.

Co-intelligence : living and working with AI by Ethan Mollick From Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AISomething new entered our world in November 2022 -- the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world. In Co-Intelligence, Mollick urges us to engage with AI as co-worker, co-teacher, and coach. He assesses its profound impact on business and education, using dozens of real-time examples of AI in action. Co-Intelligence shows what it means to think and work together with smart machines, and why it's imperative that we master that skill. Mollick challenges us to utilize AI's enormous power without losing our identity, to learn from it without being misled, and to harness its gifts to create a better human future. Wide ranging, hugely thought-provoking, optimistic, and lucid, Co-Intelligence reveals the promise and power of this new era.

I, Human by Tomas Chamorro-Premuzic; Timothy Andrés Pabon (Narrated by) Will artificial intelligence improve the way we work and live, or will it alienate us? The choice is ours. What will we decide?It's no secret that AI is changing the way we live, work, love, and entertain ourselves. Dating apps are using AI to pick our potential partners. Retailers are using AI to predict our behavior and desires. Rogue actors are using AI to persuade us with Twitter bots and fake news. Companies are using AI to hire us-or not.This is just the beginning. As AI becomes smarter and more humanlike, our societies, our economies, and our humanity will undergo the most dramatic changes we've seen since the Agricultural Revolution. Some of these changes will enhance our species. Others may dehumanize us and make us more machinelike in our interactions with others. It's up to us to adapt and determine how we want to live and work. Are you ready?In I, Human psychologist Tomas Chamorro-Premuzic offers a guide for reclaiming ourselves in a world in which most of our decisions will be made for us. To do so, we'll need to double down on what makes us so special-our curiosity, adaptability, and emotional intelligence-while relying on the lost virtues of empathy, humility, and self-control. Filled with big-think fascinations and practical wisdom, I, Human is the book we need to thrive in the future.

Welcome to AI by David L. Shrier; Roger Davis (Narrated by) A fascinating guide to the rapidly advancing world of artificial intelligence and how this powerful technology will impact our lives, our careers, and our world.Artificial intelligence is driving workforce disruption on a scale not seen since the Industrial Revolution.In schools and universities AI technology has forced a reevaluation of the way students are taught and assessed. Meanwhile, ChatGPT has become a cultural phenomenon, reaching a hundred million users and attracting a reputed $1 trillion investor interest in its parent company, OpenAI.The race to dominate the generative AI market is accelerating at breakneck speed, inspiring breathless headlines and immense public interest.Welcome to AI provides a rare view into a frontier area of computer science that will change everything about how you live and work. Listen to this book and better understand how to succeed in the AI-enabled future.

AI Needs You by Verity Harding AI Needs You argues that it is critical for society to take the lead in answering this urgent question and ensuring that AI fulfills its promise.Verity Harding draws inspiring lessons from the histories of three twentieth-century tech revolutions-the space race, in vitro fertilization, and the internet-to empower each of us to join the conversation about AI and its possible futures. Sharing her perspective as a leading insider in technology and politics, she rejects the dominant narrative, which often likens AI's advent to that of the atomic bomb. History points the way to an achievable future in which democratically determined values guide AI to be peaceful in its intent; to embrace limitations; serve purpose, not profit; and to be firmly rooted in societal trust.