• Harnessing Snowflake with Generative AI and LLMs

  • 著者： Anand V
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Harnessing Snowflake with Generative AI and LLMs

著者： Anand V
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  • enerative AI and LLMs delves into integrating generative AI and large language models (LLMs) with Snowflake’s data platform to unlock new data-driven insights and applications. This book provides a comprehensive guide on using Snowflake's capabilities—such as data warehousing, real-time analytics, and cloud-based infrastructure—in combination with generative AI models like GPT-4. Readers will learn how to build intelligent data pipelines, generate insights, automate workflows, and create conversational AI applications.
    Anand V
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あらすじ・解説

enerative AI and LLMs delves into integrating generative AI and large language models (LLMs) with Snowflake’s data platform to unlock new data-driven insights and applications. This book provides a comprehensive guide on using Snowflake's capabilities—such as data warehousing, real-time analytics, and cloud-based infrastructure—in combination with generative AI models like GPT-4. Readers will learn how to build intelligent data pipelines, generate insights, automate workflows, and create conversational AI applications.
Anand V
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  • Harnessing Snowflake with Generative AI and LLMs

    Harnessing Snowflake with Generative AI and LLMs
    2024/10/26

    Harnessing Snowflake with Generative AI and LLMs," explores the potential of integrating Snowflake's data cloud with Generative AI and Large Language Models (LLMs). The text explains the fundamentals of machine learning and deep learning, discusses the architecture of LLMs, and delves into the benefits of Snowflake for AI workflows, including scalability, performance, and data management capabilities. It also examines the integration of Snowflake with LLMs for various applications, such as natural language processing, content generation, and customer service automation. The excerpt emphasizes the importance of advanced techniques, data privacy, and collaboration in leveraging Snowflake with LLMs, while also outlining the challenges and future directions in this field.

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    16 分

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