Transform your professional world with ChatGPT and OpenAI—master prompt design to revolutionize development, marketing, research, and enterprise implementation Key Features Turn ChatGPT into your companion for marketing, research, personal productivity, art and coding Learn prompt engineering techniques that deliver consistent, relevant, and ethical AI-powered results Build custom GPTs and assistants tailored to your specific business needs and workfl

Go beyond foundational LangChain documentation with detailed coverage of LangGraph interfaces, design patterns for building AI agents, and scalable architectures used in production—ideal for Python developers building GenAI applications Key Features Bridge the gap between prototype and production with robust LangGraph agent architectures Apply enterprise-grade practices for testing, observability, and monitoring Build specialized agents for software d

Go beyond foundational LangChain documentation with detailed coverage of LangGraph interfaces, design patterns for building AI agents, and scalable architectures used in production—ideal for Python developers building GenAI applications Key Features Bridge the gap between prototype and production with robust LangGraph agent architectures Apply enterprise-grade practices for testing, observability, and monitoring Build specialized agents for software d

Become proficient in Amazon Bedrock by taking a hands-on approach to building and scaling generative AI solutions that are robust, secure, and compliant with ethical standards Key Features Learn the foundations of Amazon Bedrock from experienced AWS Machine Learning Specialist Architects Master the core techniques to develop and deploy several AI applications at scale Go beyond writing good prompting techniques and secure scalable frameworks by using

Enhance your application development skills by building a ChatGPT clone, code bug fixer, quiz generator, translation app, email auto-reply, PowerPoint generator, and more in just one read! Key Features Become proficient in building AI applications with ChatGPT, DALL-E, and Whisper Understand how to select the optimal ChatGPT model and fine-tune it for your specific use case Monetize your applications by integrating the ChatGPT API with Stripe

Turn challenges into opportunities by mastering advanced techniques for text generation, summarization, and question answering using LangChain and Google Cloud tools Key Features Solve real-world business problems with hands-on examples of GenAI applications on Google Cloud Learn repeatable design patterns for Gen AI on Google Cloud with a focus on architecture and AI ethics Build and implement GenAI agents and workflows, such as RAG and NL2SQL, using

Turn challenges into opportunities by mastering advanced techniques for text generation, summarization, and question answering using LangChain and Google Cloud tools Key Features Solve real-world business problems with hands-on examples of GenAI applications on Google Cloud Learn repeatable design patterns for Gen AI on Google Cloud with a focus on architecture and AI ethics Build and implement GenAI agents and workflows, such as RAG and NL2SQL, using

Creating AI art doesn’t require any specialized programming knowledge or even much talent for design. Using software such as DALL-E 2 or Midjourney, anyone can multiply their design output with little to no budget required and without involving any professional human resources. This offers a new form of leverage and one that is permissionless. You don’t need somebody else’s per...(展开全部)

ChatGPT是由OpenAI公司研发的人工智能聊天机器人，它可以进行自然语言文本的理解和生成。ChatGPT的出现让计算机能够更加自然地与人类进行对话，这标志着人工智能技术在自然语言处理领域取得了革命性的突破，人机交互从此迈入了一个新的时代。 本书将带领读者深入了解ChatGPT，介绍ChatGPT的相关概念、技术原理和实际应用，并探讨人工智能相关技术与产业的发展前景。全书共8章，可划分为3个部分。 第1部分为第1章，以“ChatGPT是什么”为主题。先简单介绍了聊天机器人的概念，然后介绍ChatGPT的核心技术和发明者，接着探讨了ChatGPT成为史上增长最快的消费级应用背后的原因，最后就大众所关心的一些问题做了回答。 第2部分为第2～5章，以“ChatGPT怎么用”为主题。第2章介绍了ChatGPT及其同公司的其他应用型产品（DALL·E2和OpenAI API）的基本使用方法。第3章介绍了一些能让ChatGPT的功能更完善的插件。第4、5章通过ChatGPT的一些实际应用案例，展示ChatGPT在各种领域的应用场景和未来发展方向。 第3部分为第6～8章，以“ChatGPT能带来什么”为主题。第6、7章介绍了AIGC（人工智能生成内容）的产业生态及当前比较知名的一些AIGC工具。第8章初步探讨了AIGC可能会在道德、隐私和安全等方面引发的问题。 本书旨在为对ChatGPT感兴趣的读者提供一份较为全面且通俗易懂的资源，帮助他们更好地理解人工智能技术的意义和影响。希望本书能为读者带来关于人工智能技术的新思考，激励更多人投身于人工智能技术的研究和应用，为人工智能技术的发展做出更大的贡献。

Minimize AI hallucinations and build accurate, custom generative AI pipelines with RAG using embedded vector databases and integrated human feedback Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Implement RAG’s traceable outputs, linking each response to its source document to build reliable multimodal conversational agents Deliver accurate generative AI models in pipelines integrating RAG, real-time human feedback improve