• Building Large Language Models for Production: Enterprise Generative AI

  • 著者： Anand V
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Building Large Language Models for Production: Enterprise Generative AI

著者： Anand V
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  • provides a comprehensive guide to understanding, building, and deploying large language models (LLMs) in enterprise settings. It covers fundamental concepts in natural language processing (NLP), common LLM architectures like BERT, GPT, and T5, data collection and preparation techniques, model training, and fine-tuning methods. The text further explores crucial production aspects, including infrastructure optimization, security, compliance, and continuous monitoring.
    Anand V
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あらすじ・解説

provides a comprehensive guide to understanding, building, and deploying large language models (LLMs) in enterprise settings. It covers fundamental concepts in natural language processing (NLP), common LLM architectures like BERT, GPT, and T5, data collection and preparation techniques, model training, and fine-tuning methods. The text further explores crucial production aspects, including infrastructure optimization, security, compliance, and continuous monitoring.
Anand V
続きを読む 一部表示
エピソード
  • Building Large Language Models for Production: Enterprise Generative AI

    Building Large Language Models for Production: Enterprise Generative AI
    2024/11/04

    Provides a comprehensive guide to understanding, building, and deploying large language models (LLMs) in enterprise settings. It covers fundamental concepts in natural language processing (NLP), common LLM architectures like BERT, GPT, and T5, data collection and preparation techniques, model training, and fine-tuning methods. The text further explores crucial production aspects, including infrastructure optimization, security, compliance, and continuous monitoring. It also examines ethical considerations, showcases real-world applications of LLMs across industries, and delves into emerging trends and challenges in the field.

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    34 分

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