Outros livros que poderiam interessá-lo

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  Claude for Complete Beginners -...

  Ryan Foster

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  This audiobook is narrated by an AI Voice.   
  Turn Any Idea Into a Working App in Just 60 Minutes - Zero Coding Required 
  Have you ever wished you could build your own app but thought you needed years of programming experience? What if you could create a fully functional, shareable application this afternoon using nothing but plain English conversation? 
  Claude for Complete Beginners shows you exactly how to build real apps using Claude AI and Artifacts - a revolutionary no-code app development approach that requires zero technical knowledge. Whether you want a task manager, habit tracker, unit converter, or custom calculator, you'll have a working application by the end of your first session. 
  What You'll Master: 
  • The 60-Minute Build Process: Follow a proven four-phase workflow that takes you from idea to deployed app in a single focused session 
  • Claude Artifacts Mastery: Use the live preview panel to see your app evolve in real-time as you refine it through conversation 
  • Professional Prompt Patterns: Learn the exact "Who-What-See" formulas that get Claude to build precisely what you envision on the first try 
  • One-Click Deployment: Publish your apps to the web using free tools like GitHub Pages so others can use them immediately 
  • Bulletproof Iteration: Add features and fix issues without breaking your progress using professional development workflows 
  Perfect For: 
  - Complete beginners who want gentle, realistic AI app-building guidance 
  - Entrepreneurs and small business owners need custom tools without hiring developers 
  - Busy professionals requiring quick internal dashboards, calculators, and trackers 
  - Educators seeking a clear, repeatable curriculum for teaching practical AI skills

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  Immortal and now?

  Andy Goldau

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  In the history of mankind, there has always been a desire for immortality and eternal life. Over the centuries, people have made many attempts to achieve this goal. In modern times, advances in science and technology have created the potential for eternal life to actually become possible. This audiobook explores the various ways that eternal life could be achieved, including genetic manipulation, epigenetics, cryonics, and human AIs. The pros and cons of each method are discussed, as well as the ethical and social implications associated with eternal life.

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  History of Apple iOS

  Introbooks Team

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  "Today Apple is going to reinvent the phone." was those eight words that shook the mobile market on 9th Jan 2007. It was a Macworld Conference and Expo in San Francisco where Steve Jobs, the Apple CEO first introduce the iPhone to the world. And with the very first iPhone, Apple launched their personalized operating system for their phones, the iOS. On June 29th, 2007, iOS, primarily known as iPhone OS, was launched for the first time. Since then in every summer they have reinvented the mobile operating system and with each update, they blow their consumers minds with what is possible with their iDevices. And they are still improving.   
  As mentioned before, Apple iOS is a personalized operating system specially designed for all the electronic devices by Apple, like the iPhones, iPad and iPod touch. The iOS was first announced on June 29th,2007 and since then it has come a long way and saw a lot of major changes too. Since the first iPhone OS (renamed as iOS later) the updates being released through iTunes software. And after iOS 5 it started releasing via over-the-air updates. Since then, the consumers never needed to use a USB on iTunes to connect with iOS. They started using iCloud for data synchronization. 
  Every year, a new version of iOS is usually launched with a new iPhone model. In Apple’s yearly Worldwide Developers Conference (WWDC), they announce the new major iOS update and release it in September of the same year. The latest stable update of iOS is iOS 12.3.2. This update has been released on June 10th,2019. The most recent Beta version of iOS, the iOS 12.4 Beta 4 has been released on the very next day. And Apple has already announced iOS 13 and some of its special features, such as dark mode on 3rd June 2019 in their Worldwide Developers Conference (WWDC).

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  California Coast Trails

  Joseph Smeaton Chase

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  In 1911, decades before California's coast Highway 1 was built, an Englishman rode 2000 miles on horseback the length of California, from Mexico to Oregon. On the way he is courteously received at isolated ranches, has many quiet adventures, and is generally amazed by the beauty of our coast. A classic early California travelog. Chase was born in Islington (London) and but lived most of this life in the California desert.Here are Chase's major landmarks, first going south and then turning north:Chap. 1 El Monte to Laguna Beach. Chap. 2 Aliso Canyon to San Juan Capistrano. Chap. 3 San Juan hot springs (east of Mission Viejo) to Oceanside. Chap 4. Del Mar to San Diego. Chap. 5 San Fernando Valley to Malibu. Chap. 6 Boney Mountain (in the Santa Monica Mtns.) to Ventura. Chap. 7 Carpenteria to Santa Barbara. Chap 8. Refugio Pass (south of Solvang) to Lompoc. Chap. 9 Solvang to Las Cruces (south of Solvang). Chap. 10 Point Conception back to Lompoc. Chap. 11 Casmalia to Avila (on SLO Bay). Chap. 12 San Luis Obispo to Morro Bay. Chap. 13 to Jolon and Mission San Antonio de Padua (SE of Ft. Hunter Liggett). Chap. 14 to Pacific Valley (south of Limekiln State Park). Chap. 15 Limekiln, Lucia, to about Lopez Point. Chap. 16 Big Sur, Point Sur Lighthouse to Monterey. Chap. 17 Seaside through the Santa Cruz Mtns. to Pescadero (San Mateo Co.). Chap. 18 Half Moon Bay, San Francisco, to Drakes Bay. Chap. 19 Tomales Bay to Gualala. Chap. 20 Navarro to Westport. Chap. 21 King Range and the Mattole Valley to Eureka. Chap. 22 Arcata to the Klamath.(Summary by Adrian Praetzellis)

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  AIO: The New SEO – How to Get...

  Michael Wilson

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  Unlock the Future of Business Growth with AI Optimization 
  If you're still relying solely on SEO to get found online, you're already behind. In today's digital landscape, AI platforms like ChatGPT, Claude, Gemini, and Perplexity are the new search engines. They are influencing purchasing decisions, recommending services, and shaping brand visibility in ways traditional search cannot. AIO for Business is your definitive guide to thriving in this new era by mastering AIO—AI Optimization. 
  Written for entrepreneurs, business owners, coaches, consultants, and digital marketers, this groundbreaking book reveals how to position your brand inside the answers AI tools are already giving. Learn how to build an authoritative online presence, write AI-friendly content, and get featured across platforms where large language models pull their data. 
  Inside this book, you'll discover:How to transition from outdated SEO tactics to forward-thinking AIO strategiesWays to write content that AI tools can understand, recommend, and trustHow to get quoted or linked on AI-indexed platforms like LinkedIn, Medium, Quora, Reddit, and WikipediaStrategies to build a digital footprint that signals expertise and credibilityTools to audit your visibility using ChatGPT, Claude, and PerplexityHow to build and train your own AI assistant to serve clients, answer questions, and increase brand reach 
  Whether you're just starting your business or looking to scale your authority online, this book delivers the tools and insights needed to compete in an AI-first world.

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  Generative AI on AWS - Building...

  Antje Barth, Shelbee Eigenbrode,...

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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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