Otros libros que te pueden interesar

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  Domain-specific LLMs -...

  Et Tu Code

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  This audiobook is a comprehensive guide to leveraging Language Models (LLMs) tailored for specific domains. Here's what each section offers: 
  Introduction to Domain-specific LLMs: Lay the groundwork by understanding the fundamentals of Domain-specific LLMs 
  Key Concepts in Domain-specific LLMs: Delve deeper into core principles like domain adaptation, fine-tuning, and transfer learning, 
  Creating Custom LLMs: Learn to build custom Language Models tailored to specific domains 
  Steps to Create LLMs: Follow a roadmap for creating Domain-specific Language Models, from data acquisition to model training and evaluation. 
  Popular LLMs: Explore popular models like BERT, GPT, and XLNet customized for specific industries, comparing features and performance. 
  Fine-tuning LLMs: Master techniques for optimizing model performance and adapting to new tasks in specialized domains. 
  Integration with Systems: Discover best practices for integrating LLMs into existing systems and workflows seamlessly. 
  Resources and Tools: Access a curated collection of resources, datasets, and tools to support LLM development. 
  Pre-trained Models: Harness pre-trained models to expedite development and enhance efficiency in LLM projects. 
  Security Considerations: Address security concerns related to LLM deployment, ensuring robustness and integrity. 
  Hugging Face LLMs: Discover Hugging Face's Domain-specific LLMs platform for accessing pre-trained models. 
  Whether you're a researcher, developer, data scientist, or industry professional, "Domain-specific LLMs" equips you with the knowledge, skills, and insights to harness the full potential of Language Models in specialized domains.

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  Towing Icebergs Falling Dominoes...

  Robert B. Banks

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  An engineering professor reveals how math and reasoning apply in the real world with a “fascinating” collection of problems and puzzles (Library Journal). 
   
  A Choice Outstanding Academic Title of the Year 
   
  Although we seldom think of it, our lives are played out in a world of numbers. Such common activities as throwing baseballs, skipping rope, growing flowers, playing football, measuring savings accounts, and many others are inherently mathematical. So are more speculative problems that are simply fun to ponder in themselves—such as the best way to score Olympic events. 
   
  Here Robert Banks presents a wide range of musings, both practical and entertaining, that have intrigued him and others: How tall can one grow? Why do we get stuck in traffic? Which football player would have a better chance of breaking away—a small, speedy wide receiver or a huge, slow linebacker? Can California water shortages be alleviated by towing icebergs from Antarctica? What is the fastest the 100-meter dash will ever be run? 
   
  The book’s twenty-four concise chapters, each centered on a real-world phenomenon, show how math and simple reasoning together may produce elegant models that explain everything from the federal debt to the proper technique for ski-jumping. 
   
  “Engaging.” —New Scientist 
   
  “Infused with infectious enthusiasm.” —Publishers Weekly 
   
  Note: Some images inside the book are unavailable due to digital copyright restrictions.

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  Cultivated Cuisine - The Future...

  Gordon Rayner

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  Dive into the Future of Feasting: Where Science Meets Your Dinner Plate 
   
  Prepare to be transported to a future where dinner grows in a lab, not a field. "Cultivated Cuisine: The Future of Lab-Grown Meat" offers a cutting-edge exploration of the revolutionary world of cellular agriculture. Attention: The book takes a thrilling plunge into the complexities of lab-grown meat, examining its scientific origins, environmental implications, and potential to redefine our food system. 
  Author Gordon Rayner, a biologist by education and agribusiness professional by experience, unravels this innovative food technology with dexterity and wit. He skillfully bridges the divide between hard science and accessible storytelling, offering a comprehensive guide that enlightens as much as it entertains. 
   
  Imagine a world where the burger on your plate is just as juicy and flavorful as the one from your favorite barbecue joint but without the associated environmental or ethical concerns. That's the promise of cultured meat that Rayner interrogates from every angle. 
   
  Whether you're a food enthusiast curious about sustainable trends, a science geek hungry for innovative topics, or a concerned citizen seeking balanced information on the future of food, this book is a must-read. Feast on a hearty serving of knowledge – sink your teeth into "Cultivated Cuisine: The Future of Lab-Grown Meat" today!

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  Tough and Competent - Leadership...

  Eugene F. Kranz

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  Tough and Competent documents the leadership and teamwork principles which emerged from an organization of novice, part-time engineers in NASA Mercury Control. By July 1969, when faced with the stress of the Apollo 11 mission to land Americans on the moon, they had matured into a group of hardened individuals empowered to make the split-second decisions to land with only seventeen seconds of fuel remaining. What had changed? Team chemistry, IT!, is the unifying soul of operations that emerged from the leadership, working, and social environment to achieve organizational excellence. Mission Control could address quickly the risks and complexity of spaceflight operations. The intangible element, IT!, elevates performance to where the impossible becomes commonplace. 
   
   
   
  IT! was born in a bare-bones warehouse floor work environment, where learning by doing developed the materials for flight. Controllers spanned diverse backgrounds: Philco tech reps, farm boys, Native Americans, and junior college grads who became self-made engineers. A free exchange of knowledge developed expertise among colleagues. Everyone brought unique viewpoints and skills which coalesced into IT! In relaying his long tenure at NASA, Kranz narrates the development of IT! His views on lessons learned through decades of Mission Control are valuable for any innovation-based organization.

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  No Way Down - Life and Death on K2

  Graham Bowley

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  "No Way Down is both a gripping read and a clear-eyed investigation of the hubris, politics, and bad luck that brought on one of the worst disasters in modern mountaineering history." —Michael Kodas, author of High Crimes: The Fate of Everest in an Age of Greed 
   
   
   
  "Graham Bowley's No Way Down does a great job of putting you on the mountain. It is a refreshingly unadorned account of the true brutality of climbing K2, where heroes emerge and egos are stripped down, and the only thing achieving immortality is the cold ruthless mountain." —Norman Ollestad, author of Crazy for the Storm 
   
   
   
  In the tradition of Into Thin Air and Touching the Void, No Way Down by New York Times reporter Graham Bowley is the harrowing account of the worst mountain climbing disaster on K2, second to Everest in height . . . but second to no peak in terms of danger. From tragic deaths to unbelievable stories of heroism and survival, No Way Down is an amazing feat of storytelling and adventure writing, and, in the words of explorer and author Sir Ranulph Fiennes, "the closest you can come to being on the summit of K2 on that fateful day."

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  Generative AI on AWS - Building...

  Shelbee Eigenbrode, Chris...

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  Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. 
   
   
   
  You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. 
   
   
   
  You'll also discover how to apply generative AI to your business use cases; determine which generative AI models are best suited to your task; perform prompt engineering and in-context learning; fine-tune generative AI models on your datasets with low-rank adaptation (LoRA); align generative AI models to human values with reinforcement learning from human feedback (RLHF); augment your model with retrieval-augmented generation (RAG); explore libraries such as LangChain and ReAct to develop agents and actions; and build generative AI applications with Amazon Bedrock.

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