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Prompt Engineering with Llama 3
Learn prompt engineering for Llama 3, mastering control parameters and task-specific applications like summarization and coding, and addressing challenges like knowledge cutoff and hallucination.
4.6
20 Lessons
5h
Updated 4 weeks ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- An understanding of prompting techniques and best practices
- Exposure to various real world applications of Llama 3 prompt engineering
- Knowledge of prompt parameters that can be configured to control the output of Llama 3
- Familiarity with ethical challenges and common issues we face while prompting large language models
Learning Roadmap
2.
Getting Started with Llama 3
Getting Started with Llama 3
Walk through Llama 3's features, Meta AI interface, Hugging Face setup, and API integration.
3.
Prompt EngineeringÂ
Prompt EngineeringÂ
7 Lessons
7 Lessons
Go hands-on with crafting effective prompts and advanced techniques for Llama 3.
4.
Prompt Engineering for Specific Tasks
Prompt Engineering for Specific Tasks
6 Lessons
6 Lessons
Break down the steps to prompt engineering for tasks like summarization, code generation, frontend, and image creation.
5.
Wrap Up
Wrap Up
2 Lessons
2 Lessons
Solve problems in prompt engineering challenges, AI ethics, and Llama 3's advanced techniques.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
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.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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