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Generative AI on Google Cloud with LangChain. Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud

Język publikacji: 1
Generative AI on Google Cloud with LangChain. Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud Leonid Kuligin, Jorge Zaldívar, Maximilian Tschochohei - okladka książki

Generative AI on Google Cloud with LangChain. Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud Leonid Kuligin, Jorge Zaldívar, Maximilian Tschochohei - okladka książki

Serie wydawnicze:
Hands-on
Ocena:
Generative AI is transforming businesses, and its rapid enterprise adoption is creating a demand for developers to quickly build and deploy AI applications that deliver real value. This book, Building generative AI applications on Google Cloud, is designed to help developers bridge the gap between concept and implementation, enabling them to leverage LangChain and Google Cloud’s enterprise-ready tools for scalable AI solutions.
You'll start by exploring the fundamentals of large language models (LLMs) and how LangChain simplifies the development of AI workflows by connecting LLMs with external data and services. The book guides you through using key tools like the Gemini and PaLM 2 APIs, Vertex AI, and Vertex AI Search to create sophisticated, production-ready generative AI applications. You'll also dive deep into advanced techniques like Retrieval-Augmented Generation (RAG) and external memory layers to overcome the context limitations of LLMs.
With practical patterns and real-world examples, this book provides everything you need to harness Google Cloud’s AI ecosystem, making it easier to reduce time to market while ensuring enterprise scalability.
By the end of this book, you’ll have the expertise to build generative AI applications that are robust, scalable, and tailored to solve real-world business challenges.

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