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Llama Fundamentals

更新时间 2026年3月
Experiment with Llama 3 to run inference on pre-trained models, fine-tune them on custom datasets, and optimize performance.
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学习路径描述

Llama Fundamentals

This track equips you with the skills to implement Llama 3 for tasks ranging from running inference on pre-trained models to fine-tuning for custom use cases. Throughout the track, you’ll experiment using the open-source Llama model in various applications, including learning techniques to prepare your models for running on standard consumer hardware. You’ll explore tasks that Llama excels at, such as summarization and text generation, and get ready to integrate the open-source Llama models into your projects to improve efficiency. This track is ideal for AI and software professionals looking to use open-source models to innovate their current processes.

先决条件

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  • Course

    1

    Working with Llama 3

    Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

  • Project

    额外

    Classifying Emails using Llama

    Build an AI-powered inbox assistant to classify your emails using Llama.

  • Course

    3

    Fine-Tuning with Llama 3

    Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.

Llama Fundamentals
2 课程
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继续操作即表示您接受我们的《使用条款》和《隐私政策》，并同意您的数据存储在美国。

通过 DataCamp for Mobile 提升您的数据技能

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