• LLM Prompt Engineering for Developers

  • 著者： Anand V
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LLM Prompt Engineering for Developers

著者： Anand V
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  • Covers fundamental concepts like understanding LLM architecture and the importance of prompt clarity and specificity, and dives into advanced techniques such as contextual prompting, multi-turn interactions, and fine-tuning. The guide also addresses the crucial topic of ethics in LLM development, including mitigating bias and ensuring fairness, and presents practical applications and real-world case studies of LLM implementation. Lastly, the guide discusses emerging trends in LLM development and provides resources for further learning.
    Anand V
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あらすじ・解説

Covers fundamental concepts like understanding LLM architecture and the importance of prompt clarity and specificity, and dives into advanced techniques such as contextual prompting, multi-turn interactions, and fine-tuning. The guide also addresses the crucial topic of ethics in LLM development, including mitigating bias and ensuring fairness, and presents practical applications and real-world case studies of LLM implementation. Lastly, the guide discusses emerging trends in LLM development and provides resources for further learning.
Anand V
続きを読む 一部表示
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  • LLM Prompt Engineering for Developers

    LLM Prompt Engineering for Developers
    2024/11/03

    Covers fundamental concepts like understanding LLM architecture and the importance of prompt clarity and specificity, and dives into advanced techniques such as contextual prompting, multi-turn interactions, and fine-tuning. The guide also addresses the crucial topic of ethics in LLM development, including mitigating bias and ensuring fairness, and presents practical applications and real-world case studies of LLM implementation. Lastly, the guide discusses emerging trends in LLM development and provides resources for further learning.

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    16 分

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