WEI MENG LEE

Este manual es un recurso práctico indispensable para aquellos que necesitan comprender y solucionar los problemas y desafíos a los que tendrán que enfrentarse en su vida diaria como desarrolladores. Encontrara numerosos ejercicios especialmente diseñados para Android 4.1 y versiones posteriores, que proporcionan soluciones a todo tipo de problemas, desde los mas sencillos (como trabajar con una vista) hasta los mas complicados (como implementar una aplicacion Master-Detail utilizando fragmentos). Wei-Meng Lee es tecnologo y fundador de Developer Learning Solutions (www.learn2develop.net), empresa tecnologica especializada en la formacion practica y para profesionales en las ultimas tecnologias moviles. Prestigioso autor de numerosos libros sobre iOS, Android y Windows Phone, e innumerables articulos de tecnologia.

Wei-Meng LeeThe rapid proliferation of mobile networks for both public use and private has made connectivity-on-the-go a desirable, if not absolutely essential, condition. Nor is this mobility limited to laptops: everywhere you look, people are downloading email and other information directly to their cell phones and PDAs. For developers, this means an increased demand to create applications for mobile devices. Microsoft's .NET Compact Frameworks provides a full suite of powerful tools to help them get the job done. The .NET Compact Framework--a scaled down version of Microsoft's .NET Framework--offers a powerful programming environment for designing rich applications for the Pocket PC or Windows Mobile-based Smartphones. If you're familiar with the .NET Framework, you'll feel right at home in the .NET Compact Framework. You'll find the perfect way to jumpstart your productivity in our new,"NET Compact Framework Pocket Guide," As with all of our popular Pocket Guides, this concise book delivers just the information you need without all the fluff. The,"Net Compact Framework Pocket Guide" provides a brief introduction to the framework and includes several projects to get you up to speed quickly. In this book you'll learn: The basics of programming for the .NET Compact Framework using Visual Studio .NET 2003; you'll be up and running with Hello, World in no time at all User interface design considerations for the Pocket PC, Pocket PC Phone Edition, and Windows Mobile-based Smartphone How to consume web services from .NET Compact Framework applications How to cache on-line data for use when the mobile device is out of range of a network How to write applications thatuseBluetooth. Whether you're new to mobile programming or new to Visual Studio .NET 2003, the,"NET Compact Framework Pocket Guide" will teach what you need to know to get started developing mobile applications.

Everything you need to know about using the tools, libraries, and models at Hugging Facefrom transformers, to RAG, LangChain, and Gradio.Hugging Face in Action reveals how to get the absolute best out of everything Hugging Face, from accessing state-of-the-art models to building intuitive frontends for AI apps.With Hugging Face in Action youll learn: Utilizing Hugging Face Transformers and Pipelines for NLP tasks Applying Hugging Face techniques for Computer Vision projects Manipulating Hugging Face Datasets for efficient data handling Training Machine Learning models with AutoTrain functionality Implementing AI agents for autonomous task execution Developing LLM-based applications using LangChain and LlamaIndex Constructing LangChain applications visually with LangFlow Creating web-based user interfaces using Gradio Building locally running LLM-based applications with GPT4ALL Querying local data using Large Language Models Want a cutting edge transformer library? Hugging Faces open source offering is best in class. Need somewhere to host your models? Hugging Face Spaces has you covered. Do your users need an intuitive frontend for your AI app? Hugging Faces Gradio library makes it easy to build UI using the Python skills you already have. In Hugging Face in Action youll learn how to take full advantage of all of Hugging Faces amazing features to quickly and reliably prototype and productionize AI applications.About the technology Hugging Face is an incredible open-source ecosystem for AI engineers and data scientists, providing hundreds of pre-trained models, datasets, tools, and libraries. Its also a central hub for collaborating on leading edge AI research. Hugging Face is a massive platform, and this book will help you take full advantage of all it has to offer.About the bookHugging Face in Action teaches you how to build end-to-end AI systems using resources from the Hugging Face community. In it, youll create multiple projects, including an object detection model, a RAG Q&A application, an LLM-powered chatbot, and more. Youll appreciate the clear, accessible explanations, along with thoughtful introductions to key technologies like LangChain, LlamaIndex, and Gradio.Whats inside How to navigate the huge Hugging Face library of models and tools How to run LLMs locally using GPT4ALL How to create web-based user interfaces using Gradio How to improve models using Hugging Face datasetsAbout the reader For Python programmers familiar with NumPy and Pandas. No AI experience required.About the authorWei-Meng Lee is a technologist and founder of Developer Learning Solutions.Table of Contents 1 Introducing Hugging Face 2 Getting started 3 Using Hugging Face transformers and pipelines for NLP tasks 4 Using Hugging Face for computer vision tasks 5 Exploring, tokenizing, and visualizing Hugging Face datasets 6 Fine-tuning pretrained models and working with multimodal models 7 Creating LLM-based applications using LangChain and LlamaIndex 8 Building LangChain applications visually using Langflow 9 Programming agents 10 Building a web-based UI using Gradio 11 Buildi...