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Gain insights into Llama 3 by learning prompting techniques, mastering control parameters, exploring real-world applications, and addressing ethical challenges to enhance efficiency in various creative tasks.

llama.tar.gz

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Generative AI and large language models have brought opportunities for improving work efficiency by automating several tasks that would otherwise take much of our time. They have also changed how people—who would otherwise need to rely on others—can now do creative work using various generative AI tools. Demand for people knowledgeable in these tools continues to grow.

This course starts by introducing learners to Llama 3. You’ll begin by learning different prompting techniques and best practices to get the desired results. Then, you’ll look at various parameters that can be used to control the model’s output. From there, you’ll get hands-on exposure to some real-world applications. You’ll end the course by discussing certain ethical challenges and limitations of Llama 3.

By the time you finish this course, you will be able to utilize Llama 3 in scenarios ranging from text summarization, sentiment analysis, and image generation on one hand, to code generation and frontend development on the other.

Introduction to Prompt Engineering with Llama 3

Learn about the effective use of Llama 3 for code generation tasks.

Getting Started

Getting Started with Llama 3

Prompt Engineering

Prompt Engineering for Specific Tasks

Wrap Up

Code Generation