• Quick Start Guide to LLMs: Hands-On with Large Language Models

  • 著者： Anand V
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Quick Start Guide to LLMs: Hands-On with Large Language Models

著者： Anand V
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  • Overview of how to understand, train, and deploy large language models (LLMs), powerful AI systems capable of processing and generating human-like text. The guide begins by defining LLMs and their key concepts, then covers setting up an environment, collecting and preparing training data, selecting appropriate LLM architectures, and training the model itself. Further chapters explore how to fine-tune pre-trained LLMs for specific tasks, deploy these models for real-world applications, and evaluate their performance using various metrics
    Anand V
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あらすじ・解説

Overview of how to understand, train, and deploy large language models (LLMs), powerful AI systems capable of processing and generating human-like text. The guide begins by defining LLMs and their key concepts, then covers setting up an environment, collecting and preparing training data, selecting appropriate LLM architectures, and training the model itself. Further chapters explore how to fine-tune pre-trained LLMs for specific tasks, deploy these models for real-world applications, and evaluate their performance using various metrics
Anand V
続きを読む 一部表示
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  • Quick Start Guide to LLMs: Hands-On with Large Language Models

    Quick Start Guide to LLMs: Hands-On with Large Language Models
    2024/11/05

    A comprehensive overview of how to understand, train, and deploy large language models (LLMs), powerful AI systems capable of processing and generating human-like text. The guide begins by defining LLMs and their key concepts, then covers setting up an environment, collecting and preparing training data, selecting appropriate LLM architectures, and training the model itself. Further chapters explore how to fine-tune pre-trained LLMs for specific tasks, deploy these models for real-world applications,

    続きを読む 一部表示
    22 分

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