Master OpenAI's Agents SDK to design production-ready AI agents and agentic systems that solve real-world problems with practical guidance Get your book with a free PDF, AI Assistant, and Next-Gen Reader Key Features Gain a complete understanding of the OpenAI Agents SDK features including models, tools, memory, guardrails, orchestration, tracing, and multi-agent systems Progressively build AI agents through several hands-on projects that evolve from a simple

Many real-world problems can be broken down into tasks that require a series of decisions to be made or actions to be taken. The ability to solve such tasks without a machine being programmed requires a machine to be artificially intelligent and capable of learning to adapt. This book is an easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential decision making and control tasks.Hands-On Intelligent Agents with OpenAI Gym takes you through the process of building intelligent agent algorithms using deep reinforcement learning starting from the implementation of the building blocks for configuring, training, logging, visualizing, testing, and monitoring the agent. You will walk through the process of building intelligent agents from scratch to perform a variety of tasks. In the closing chapters, the book provides an overview of the latest learning environments and learning algorithms, along with pointers to more resources that will help you take your deep reinforcement learning skills to the next level.

Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously Key Features Implement RAG and knowledge graphs for advanced problem-solving Leverage innovative approaches like LangChain to create real-world intelligent systems Integrate large language models, graph databases, and tool use for next-gen AI solutions <l

（美）J.赫伯特.阿特休尔， 为美国印第安那大学新闻学院的阿特休尔教授，作者中学时即成为一名年轻的实习记者，后来长期从事新闻工作，曾任过美联社驻费城、华盛顿编辑，驻西德首府波恩首席记者，后来又任《纽约时报》和NBC记者，还主持过NBC西雅图广播电视台并一度担任《新闻周刊》特约记者。离开新闻前线后，在华盛顿州立大学攻取政治学硕士和历史学博士。 干过记者和编辑，任过驻外记者，做过通讯社、电视台和杂志工作，这一系列丰富多姿的新闻实践既开启了作者的理论思维，也为之提供了论证的事例；政治学和历史学的进阶学习又使作者大为提高了自己的理论素养并开拓了知识视野。

Improve your app development skills by building a ChatGPT clone, code bug fixer, quiz generator, translation app, email auto-reply, PowerPoint generator, and more Key Features Transition into an expert AI developer by mastering ChatGPT concepts, including fine-tuning and integrations Gain hands-on experience through real-world projects covering a wide range of AI applications Implement payment systems in your applications by integrating the ChatGPT AP

Improve your app development skills by building a ChatGPT clone, code bug fixer, quiz generator, translation app, email auto-reply, PowerPoint generator, and more Key Features Transition into an expert AI developer by mastering ChatGPT concepts, including fine-tuning and integrations Gain hands-on experience through real-world projects covering a wide range of AI applications Implement payment systems in your applications by integrating the ChatGPT AP

This book is for Arduino programmers with intermediate experience of developing projects, and who want to extend their knowledge by building projects for secret agents. It would also be great for other programmers who are interested in learning about electronics and programming on the Arduino platform.

If you have some experience with the BeagleBone or similar embedded systems and want to learn more about security and privacy, this book is for you. Alternatively, if you have a security and privacy background and want to learn more about embedded development, this book is for you. You should have some familiarity with Linux systems and with the C and Python programming languages.

This book is for programmers who want to expand their skills by building fun, smart, and useful systems with OpenCV. The projects are ideal in helping you to think creatively about the uses of computer vision, natural user interfaces, and ubiquitous computers (in your home, car, and hand).

Organised groups such as governments, corporations, charities and courts are an integral part of our lives. They provide services, sell goods, employ people, raise taxes, wage wars, and issue legal judgements. In our interactions with them, we routinely ascribe them mental states, speaking of what they know, want and intend. And we use these ascriptions in predicting what group...(展开全部)