Maximilian Tschochohei (14 results)
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Turn challenges into opportunities by learning advanced techniques for text generation, summarization, and question answering using LangChain and Google Cloud toolsDRM-free PDF version + access to Packt's next-gen Reader\*Key Features: S…olve 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 LangChain and Vertex AI Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:The rapid transformation and enterprise adoption of GenAI has created an urgent demand for developers to quickly build and deploy AI applications that deliver real value. Written by three distinguished Google AI engineers and LangChain contributors who have shaped Google Cloud's integration with LangChain and implemented AI solutions for Fortune 500 companies, this book bridges the gap between concept and implementation, exploring LangChain and Google Cloud's enterprise-ready tools for scalable AI solutions.You'll start by exploring the fundamentals of LLMs and how LangChain simplifies the development of AI workflows by connecting LLMs with external data and services. This book guides you through using essential tools like the Gemini and PaLM 2 APIs, Vertex AI, and Vertex AI Search to create sophisticated, production-ready GenAI applications. You'll also overcome the context limitations of LLMs by mastering advanced techniques like RAG and external memory layers.Through practical patterns and real-world examples, you'll gain everything you need to harness Google Cloud's AI ecosystem, reducing the time to market while ensuring enterprise scalability. You'll have the expertise to build robust GenAI applications that can be tailored to solve real-world business challenges.\*Email sign-up and proof of purchase requiredWhat You Will Learn: Build enterprise-ready applications with LangChain and Google Cloud Navigate and select the right Google Cloud generative AI tools Apply modern design patterns for generative AI applications Plan and execute proof-of-concepts for enterprise AI solutions Gain hands-on experience with LangChain's and Google Cloud's AI products Implement advanced techniques for text generation and summarization Leverage Vertex AI Search and other tools for scalable AI solutionsWho this book is for:If you're an application developer or ML engineer eager to dive into GenAI, this book is for you. Whether you're new to LangChain or Google Cloud, you'll learn how to use these tools to build scalable AI solutions. This book is ideal for developers familiar with Python and machine learning basics looking to apply their skills in GenAI. Professionals who want to explore Google Cloud's powerful suite of enterprise-grade GenAI products and their implementation will also find this book useful.Table of Contents: Using LangChain with Google Cloud Foundational Models on Google Cloud Grounding Responses on Google Cloud Vector Search on Google Cloud Advanced Techniques for Parsing and Ingesting Documents Multimodality Working with Long Context Building Chatbots Tools and Function Calling Agents in Generative AI Agentic Workflows Evaluating GenAI Applications GenAI System Design Appendix 1 - Overview of Generative AI Appendix 2 - Google Cloud Foundations.
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build and deploy enterprise-grade multimodal AI systems using generative models for text, image, audio, and video.Key Features:- Design end-to-end multimodal AI systems for enterprise workloads- Build scalable pipelines using Gemini, Veo…, Imagen, Airflow, and Kubeflow- Implement governance, safety, and compliance for AI-generated content- Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:The Multimodal AI Playbook equips enterprise developers and ML engineers with the practical skills needed to build real-world generative systems using text, image, audio, and video models. This book offers a complete stack approach-starting from theory and progressing through tooling, orchestration, governance, and full-scale deployment.Beginning with the foundations of multimodal learning and generative AI models, you'll explore how to generate modality-specific content while navigating key trade-offs in model selection, scalability, and orchestration. With a dedicated focus on enterprise use cases like automated marketing campaigns, the book shows how to manage model outputs responsibly covering bias detection, IP risk, and content safety.You'll implement a full pipeline using enterprise-ready models such as Gemini, Veo, and Imagen. With forward-looking chapters on real-time generation, 3D assets, and multimodal agents, this book bridges the gap between technical mastery and business impact- preparing you to lead in the AI-first future.What You Will Learn:- Design full-stack multimodal AI architectures- Generate text, image, audio, and video content- Build automated AI-powered marketing workflows- Compare and fine-tune leading multimodal models- Deploy AI pipelines with Airflow and Kubeflow- Implement AI safety, governance, and compliance- Create real-time and 3D multimodal experiences- Integrate AI with enterprise cloud platformsWho this book is for:Software engineers, ML engineers, data scientists, technical product managers, and solution architects looking to build and deploy multimodal generative AI systems in production. Professionals familiar with Python, machine learning concepts, and cloud platforms such as AWS, Azure, or GCP will gain practical guidance for implementing scalable, enterprise-ready AI solutions.Table of Contents- Introduction to Generative AI and Multimodality- Enterprise Context and Case Study- Preparing the Environment- Text Generation- Image Generation- Audio Generation- Video Generation- Responsible AI: Ethics, Bias, and Safety- Security in Multimodal Enterprise AI- Measuring ROI and Driving Business Value- Project Definition: Automated Marketing Asset Generation- Testing, Deployment, and Iteration- Building the Pipeline.
- Softcover
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Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Multimodal Generative AI in the Enterprise - From Pixels to Profit | A Practitioner's Guide to Building Image, Audio, and Video Generation Applications | Maximilian Tschochohei (u. a.) | Taschenbuch | Englisch | 2026 | Packt Publishing | EAN 9781806111671 | Verantwortliche Person für die EU: Libri Gm…bH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
