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Llama Fundamentals

Experiment with Llama 3 to run inference on pre-trained models, fine-tune them on custom datasets, and optimize performance.
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Track Description

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.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Working with Llama 3

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

  • Project

    bonus

    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 courses
Track
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