• Grokking LLM: From Fundamentals to Advanced Techniques in Large Language Models

  • 著者： Anand V
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Grokking LLM: From Fundamentals to Advanced Techniques in Large Language Models

著者： Anand V
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  • Concepts like the evolution of language models, neural network architectures, and transformer mechanisms. It also explores popular LLMs like GPT-3 and BERT, delves into the intricacies of training LLMs, and discusses advanced techniques like prompt engineering, few-shot learning, and multimodal capabilities. The text concludes with practical applications across various industries, real-world implementations, and future trends for LLMs.
    Anand V
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あらすじ・解説

Concepts like the evolution of language models, neural network architectures, and transformer mechanisms. It also explores popular LLMs like GPT-3 and BERT, delves into the intricacies of training LLMs, and discusses advanced techniques like prompt engineering, few-shot learning, and multimodal capabilities. The text concludes with practical applications across various industries, real-world implementations, and future trends for LLMs.
Anand V
続きを読む 一部表示
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  • Grokking LLM: From Fundamentals to Advanced Techniques in Large Language Models

    Grokking LLM: From Fundamentals to Advanced Techniques in Large Language Models
    2024/11/04

    Concepts like the evolution of language models, neural network architectures, and transformer mechanisms. It also explores popular LLMs like GPT-3 and BERT, delves into the intricacies of training LLMs, and discusses advanced techniques like prompt engineering, few-shot learning, and multimodal capabilities. The text concludes with practical applications across various industries, real-world implementations, and future trends for LLMs.

    続きを読む 一部表示
    18 分

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