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Amit Sangani
Open up your prompt engineering to the Llama 2 & 3 collection of models! Learn best practices for prompting and building applications with these powerful open commercial license models.
Read more
Open up your prompt engineering to the Llama 2 & 3 collection of models! Learn best practices for prompting and building applications with these powerful open commercial license models.
Read more
Open up your prompt engineering to the Llama 2 & 3 collection of models! Learn best practices for prompting and building applications with these powerful open commercial license models.
Interact with the Llama 2 and Llama 3 models with a simple API call, and explore the differences in output between models for a variety of tasks.
What you’ll do:
1. Learn best practices for prompting and selecting among the Llama 2 & 3 models by using them as a personal assistant to help you complete day-to-day tasks.
2. Experiment with advanced prompt engineering techniques, like few-shot prompting to get Llama 2 to classify the sentiment of text messages, and chain-of-thought prompting to solve logic problems.
3. Treat Code Llama as a pair programming partner to both learn to write and improve code.
4. Promote safe and responsible use of LLMs by having Llama Guard check user prompts and model responses for harmful content.
Llama 2 and Llama 3 models and model weights are free to download, including quantized model versions that can run on your local machine. Join a thriving community of open source developers that is building applications powered by Llama 2 and Llama 3.
Register for this course and see more details by visiting:
OpenCourser.com/course/gtipuy/prompt
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What's inside
Syllabus
Prompt Engineering with Llama 2 & 3
Open up your prompt engineering to the Llama 2 & 3 collection of models! Learn best practices for prompting and building applications with these powerful open commercial license models.Interact with the Llama 2 and Llama 3 models with a simple API call, and explore the differences in output between models for a variety of tasks.What you’ll do: 1. Learn best practices for prompting and selecting among the Llama 2 & 3 models by using them as a personal assistant to help you complete day-to-day tasks. 2. Experiment with advanced prompt engineering techniques, like few-shot prompting to get Llama 2 to classify the sentiment of text messages, and chain-of-thought prompting to solve logic problems. 3. Treat Code Llama as a pair programming partner to both learn to write and improve code. 4. Promote safe and responsible use of LLMs by having Llama Guard check user prompts and model responses for harmful content.Llama 2 and Llama 3 models and model weights are free to download, including quantized model versions that can run on your local machine. Join a thriving community of open source developers that is building applications powered by Llama 2 and Llama 3.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Targeted at professionals and learners with prior development knowledge seeking to enhance their proficiency in programming
Provides hands-on experience through advanced prompt engineering techniques, experimentation, and building applications
Leverages industry-standard Llama 2 and Llama 3 models, equipping learners with practical knowledge
Fosters responsible AI practices by integrating Llama Guard for content safety
Facilitates collaboration within a thriving community of open source developers utilizing Llama 2 and Llama 3
Empowers learners to harness advanced AI models for personal productivity and innovation
Save this course
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Prompt Engineering with Llama 2&3 with these
activities:
Identify a mentor or expert in prompt engineering or LLMs
Show steps
Seek guidance and support from an experienced professional to accelerate your learning and overcome challenges in prompt engineering.
Browse courses on
Mentorship
Show steps
-
Attend industry events or online forums to connect with professionals in the field.
-
Reach out to potential mentors via LinkedIn or email and express your interest in learning.
-
Build a rapport with your mentor and schedule regular meetings for guidance and feedback.
Review prompt engineering and model selection
Show steps
Refresh your knowledge of prompt engineering and model selection techniques to ensure a strong foundation for working with Llama 2 & 3.
Browse courses on
Prompt Engineering
Show steps
-
Review the course syllabus and identify sections on prompt engineering and model selection.
-
Read articles or watch tutorials on best practices for prompting and selecting among LLMs.
-
Practice writing prompts for different tasks, such as sentiment analysis and code generation.
Form a study group to discuss and troubleshoot prompt engineering challenges
Show steps
Enhance your understanding of prompt engineering through collaborative discussions and problem-solving with peers.
Show steps
-
Identify a group of classmates who share your interests in prompt engineering.
-
Establish a regular meeting schedule and determine the topics for discussion.
-
Take turns presenting prompts, sharing experiences, and providing feedback to each other.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Attend a workshop on advanced prompt engineering techniques
Show steps
Expand your knowledge of prompt engineering by attending a workshop that focuses on advanced techniques.
Show steps
-
Research and identify a workshop that aligns with your learning goals.
-
Register for the workshop and prepare for active participation.
-
Attend the workshop and engage with the instructors and fellow participants.
Prompt Engineering Exercises
Show steps
Master the art of prompt engineering by practicing with a variety of exercises and techniques.
Browse courses on
Prompt Engineering
Show steps
-
Practice writing clear and concise prompts
-
Experiment with different prompt formats
-
Learn to use advanced prompt engineering techniques
Practice prompting Llama 2 and Llama 3
Show steps
Gain hands-on experience in prompting Llama 2 and Llama 3 models to solidify your understanding of their capabilities and limitations.
Browse courses on
Prompt Engineering
Show steps
-
Set up a development environment for interacting with the Llama 2 and Llama 3 APIs.
-
Write prompts for various tasks, such as text classification, sentiment analysis, and code generation.
-
Evaluate the model responses and identify areas for improvement in your prompting.
Llama-Based Chatbot Project
Show steps
Create a chatbot that can engage in natural language conversations and provide valuable information using Llama 2 and Llama 3.
Browse courses on
Chatbot
Show steps
-
Define the purpose and scope of your chatbot
-
Gather and prepare the training data
-
Train and evaluate your Llama-based chatbot
-
Deploy and maintain your chatbot
Explore Advanced Prompt Engineering Techniques
Show steps
Enhance your command over prompt engineering by delving into advanced techniques, unlocking the full potential of Llama models for specialized tasks.
Browse courses on
Few-Shot Learning
Show steps
-
Understand the principles of few-shot learning and apply it to Llama models.
-
Explore chain-of-thought prompting to guide Llama models through complex reasoning.
-
Learn techniques for handling edge cases and improving model accuracy.
-
Implement advanced prompting techniques in your own projects.
Contribute to the Llama 2 or Llama 3 open-source community
Show steps
Deepen your understanding of Llama 2 or Llama 3 by actively participating in the open-source community.
Browse courses on
Open Source
Show steps
-
Join the Llama 2 or Llama 3 GitHub repository.
-
Review the existing codebase and identify areas where you can contribute.
-
Propose and develop a feature or fix based on your findings.
-
Submit a pull request with your proposed changes.
Develop a Llama-Powered Virtual Assistant
Show steps
Build a practical application that leverages the capabilities of Llama 2 and Llama 3 to enhance your productivity.
Browse courses on
Virtual Assistant
Show steps
-
Design the interface and functionality of your virtual assistant
-
Train and fine-tune the Llama models for your specific use case
-
Integrate the Llama models into your application
-
Test and deploy your virtual assistant
Build an Application with Llama
Show steps
Integrate Llama models into a practical application to witness their capabilities firsthand and gain hands-on experience in building with LLMs.
Browse courses on
Application Development
Show steps
-
Identify a problem or need that can be addressed with a Llama-powered application.
-
Design the application's architecture and user interface.
-
Implement the Llama model integration and handle user inputs and outputs.
-
Test and iterate on the application to optimize performance and user experience.
-
Showcase and share your application with others.
Create a Code Refactoring Assistant with Llama
Show steps
Develop a practical project by leveraging Llama as a coding assistant, automating code refactoring tasks and enhancing your programming skills.
Browse courses on
Code Refactoring
Show steps
-
Design the functionality and user interface of the code refactoring assistant.
-
Integrate Llama model for code analysis and refactoring suggestions.
-
Implement user input handling and output presentation.
-
Test and evaluate the assistant's performance on various codebases.
Build a personal assistant using Llama 2
Show steps
Demonstrate your understanding of Llama 2's capabilities by creating a functional personal assistant that can help you with daily tasks.
Show steps
-
Define the tasks and functionalities you want your personal assistant to perform.
-
Design the user interface and interactions for your personal assistant.
-
Develop the code to integrate Llama 2's API and handle user requests.
-
Test and refine your personal assistant to improve its performance and user experience.
Write a Technical Report on Llama Model Applications
Show steps
Compose a comprehensive report summarizing your findings and insights from exploring the applications of Llama models, contributing to the body of knowledge in this field.
Browse courses on
Technical Writing
Show steps
-
Research and gather information on various applications of Llama models.
-
Organize and structure your report logically, presenting your findings clearly and concisely.
-
Discuss the strengths, limitations, and ethical implications of using Llama models.
-
Provide recommendations for future research and development in the field.
Develop a code generation tool using Code Llama
Show steps
Showcase your mastery of Code Llama by creating a tool that can assist with code writing and improve your productivity.
Browse courses on
Code Generation
Show steps
-
Identify the specific coding tasks or languages you want your tool to support.
-
Design the user interface and workflow for your code generation tool.
-
Develop the code to integrate Code Llama's API and handle user input.
-
Test and refine your tool to ensure it generates high-quality code and enhances the coding experience.
Identify a mentor or expert in prompt engineering or LLMs
Show steps
Seek guidance and support from an experienced professional to accelerate your learning and overcome challenges in prompt engineering.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Attend industry events or online forums to connect with professionals in the field.
- Reach out to potential mentors via LinkedIn or email and express your interest in learning.
- Build a rapport with your mentor and schedule regular meetings for guidance and feedback.
Review prompt engineering and model selection
Show steps
Refresh your knowledge of prompt engineering and model selection techniques to ensure a strong foundation for working with Llama 2 & 3.
Browse courses on
Prompt Engineering
Show steps
Show steps
Show steps
- Review the course syllabus and identify sections on prompt engineering and model selection.
- Read articles or watch tutorials on best practices for prompting and selecting among LLMs.
- Practice writing prompts for different tasks, such as sentiment analysis and code generation.
Form a study group to discuss and troubleshoot prompt engineering challenges
Show steps
Enhance your understanding of prompt engineering through collaborative discussions and problem-solving with peers.
Show steps
Show steps
Show steps
- Identify a group of classmates who share your interests in prompt engineering.
- Establish a regular meeting schedule and determine the topics for discussion.
- Take turns presenting prompts, sharing experiences, and providing feedback to each other.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Attend a workshop on advanced prompt engineering techniques
Show steps
Expand your knowledge of prompt engineering by attending a workshop that focuses on advanced techniques.
Show steps
Show steps
Show steps
- Research and identify a workshop that aligns with your learning goals.
- Register for the workshop and prepare for active participation.
- Attend the workshop and engage with the instructors and fellow participants.
Prompt Engineering Exercises
Show steps
Master the art of prompt engineering by practicing with a variety of exercises and techniques.
Browse courses on
Prompt Engineering
Show steps
Show steps
Show steps
- Practice writing clear and concise prompts
- Experiment with different prompt formats
- Learn to use advanced prompt engineering techniques
Practice prompting Llama 2 and Llama 3
Show steps
Gain hands-on experience in prompting Llama 2 and Llama 3 models to solidify your understanding of their capabilities and limitations.
Browse courses on
Prompt Engineering
Show steps
Show steps
Show steps
- Set up a development environment for interacting with the Llama 2 and Llama 3 APIs.
- Write prompts for various tasks, such as text classification, sentiment analysis, and code generation.
- Evaluate the model responses and identify areas for improvement in your prompting.
Llama-Based Chatbot Project
Show steps
Create a chatbot that can engage in natural language conversations and provide valuable information using Llama 2 and Llama 3.
Browse courses on
Chatbot
Show steps
Show steps
Show steps
- Define the purpose and scope of your chatbot
- Gather and prepare the training data
- Train and evaluate your Llama-based chatbot
- Deploy and maintain your chatbot
Explore Advanced Prompt Engineering Techniques
Show steps
Enhance your command over prompt engineering by delving into advanced techniques, unlocking the full potential of Llama models for specialized tasks.
Browse courses on
Few-Shot Learning
Show steps
Show steps
Show steps
- Understand the principles of few-shot learning and apply it to Llama models.
- Explore chain-of-thought prompting to guide Llama models through complex reasoning.
- Learn techniques for handling edge cases and improving model accuracy.
- Implement advanced prompting techniques in your own projects.
Contribute to the Llama 2 or Llama 3 open-source community
Show steps
Deepen your understanding of Llama 2 or Llama 3 by actively participating in the open-source community.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Join the Llama 2 or Llama 3 GitHub repository.
- Review the existing codebase and identify areas where you can contribute.
- Propose and develop a feature or fix based on your findings.
- Submit a pull request with your proposed changes.
Develop a Llama-Powered Virtual Assistant
Show steps
Build a practical application that leverages the capabilities of Llama 2 and Llama 3 to enhance your productivity.
Browse courses on
Virtual Assistant
Show steps
Show steps
Show steps
- Design the interface and functionality of your virtual assistant
- Train and fine-tune the Llama models for your specific use case
- Integrate the Llama models into your application
- Test and deploy your virtual assistant
Build an Application with Llama
Show steps
Integrate Llama models into a practical application to witness their capabilities firsthand and gain hands-on experience in building with LLMs.
Browse courses on
Application Development
Show steps
Show steps
Show steps
- Identify a problem or need that can be addressed with a Llama-powered application.
- Design the application's architecture and user interface.
- Implement the Llama model integration and handle user inputs and outputs.
- Test and iterate on the application to optimize performance and user experience.
- Showcase and share your application with others.
Create a Code Refactoring Assistant with Llama
Show steps
Develop a practical project by leveraging Llama as a coding assistant, automating code refactoring tasks and enhancing your programming skills.
Browse courses on
Code Refactoring
Show steps
Show steps
Show steps
- Design the functionality and user interface of the code refactoring assistant.
- Integrate Llama model for code analysis and refactoring suggestions.
- Implement user input handling and output presentation.
- Test and evaluate the assistant's performance on various codebases.
Build a personal assistant using Llama 2
Show steps
Demonstrate your understanding of Llama 2's capabilities by creating a functional personal assistant that can help you with daily tasks.
Show steps
Show steps
Show steps
- Define the tasks and functionalities you want your personal assistant to perform.
- Design the user interface and interactions for your personal assistant.
- Develop the code to integrate Llama 2's API and handle user requests.
- Test and refine your personal assistant to improve its performance and user experience.
Write a Technical Report on Llama Model Applications
Show steps
Compose a comprehensive report summarizing your findings and insights from exploring the applications of Llama models, contributing to the body of knowledge in this field.
Browse courses on
Technical Writing
Show steps
Show steps
Show steps
- Research and gather information on various applications of Llama models.
- Organize and structure your report logically, presenting your findings clearly and concisely.
- Discuss the strengths, limitations, and ethical implications of using Llama models.
- Provide recommendations for future research and development in the field.
Develop a code generation tool using Code Llama
Show steps
Showcase your mastery of Code Llama by creating a tool that can assist with code writing and improve your productivity.
Browse courses on
Code Generation
Show steps
Show steps
Show steps
- Identify the specific coding tasks or languages you want your tool to support.
- Design the user interface and workflow for your code generation tool.
- Develop the code to integrate Code Llama's API and handle user input.
- Test and refine your tool to ensure it generates high-quality code and enhances the coding experience.
Career center
Learners who complete Prompt Engineering with Llama 2&3 will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/gtipuy/prompt
Reading list
We haven't picked any books for this reading list yet.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/gtipuy/prompt
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
DeepLearning.AI
Instructor
Amit Sangani
Session
August 19, 2024
- September 2, 2024
Language
English
Good to know
Targeted at professionals and learners with prior development knowledge seeking to enhance their proficiency in programming
Provides hands-on experience through advanced prompt engineering techniques, experimentation, and building applications
Leverages industry-standard Llama 2 and Llama 3 models, equipping learners with practical knowledge
Fosters responsible AI practices by integrating Llama Guard for content safety
Facilitates collaboration within a thriving community of open source developers utilizing Llama 2 and Llama 3
Empowers learners to harness advanced AI models for personal productivity and innovation
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