Course Overview
Get an overview of the course, its intended audience, and the learning outcomes.
We'll cover the following
Welcome to the beginning of your journey to learn prompt engineering with Llama 3 with Educative!
Prompt engineering is an artificial intelligence technique that involves writing and refining the input for a generative AI model so it can generate the desired and optimal results.
Why take this course?
Generative AI is a breakthrough in the field of artificial intelligence, capable of generating entirely new content, which includes text, images, audio, code, and more. Unlike traditional AI, which relies solely on predefined responses derived from training data, generative AI models learn patterns and structures from their training data to generate unique outputs.
With the rise of OpenAI's ChatGPT and the integration of advanced models like Large Language Model Meta AI (Llama 3) into everyday applications such as WhatsApp and Instagram, generative AI is increasingly becoming a part of our daily lives. As the field of generative AI continues to advance, it becomes essential to learn how to effectively interact with these AI models to harness their full potential. This is where prompt engineering comes into play.
This course is designed to explore prompt engineering concepts and techniques, with a particular focus on Llama 3.
Prerequisites
To benefit from this course, learners should have basic proficiency in reading and writing in the English language, as well as proficiency in Python. Though not necessary for getting the most out of this course, familiarity with the fundamental concepts of artificial intelligence, such as machine learning and generative AI, will serve as an add-on for a better understanding of the Llama 3 model.
Target audience
This course is designed for a wide range of learners, from those completely new to generative AI who are curious about its potential to ML engineers, data scientists, and generative AI engineers looking to boost their productivity and integrate generative AI into their existing workflows.
Course structure
Let’s briefly look at what you'll learn in this course, before diving into the details.
Getting Started with Llama 3: Begin with the fundamentals of large language models (LLMs) and generative AI. Explore how prompts are processed in the Llama model and get familiar with the Llama 3 interface. By the end, you'll be able to set up your own Llama 3 environment.
Prompt Engineering: Dive into the details of prompt engineering, starting with the basics of prompts, their elements, and prompt templates. Write effective prompts in Llama 3 and refine them using advanced prompting techniques, parameters, and iterations.
Fine-Tuning Prompt for Specific Tasks: Explore how to fine-tune the prompts for specialized tasks such as text summarization, code generation, frontend development, and text-to-image generation. Get hands-on experience through a challenge at the end of the chapter.
Course Wrap Up: Conclude the course with a discussion on ethical prompt engineering, responsible AI usage, and emerging trends in the field of AI.
Course strengths
The following are some key strengths of the course. We summarize the strengths and the advantages of this course in the table given below.
Strength | Advantages |
Structured learning | We've logically structured our course by starting from the basics and gradually moving to more complex topics, ensuring a smooth learning curve for learners. |
Llama 3 setup | We provide a step-by-step guide for learners to set up their own Llama 3 environment, empowering them to continue exploring and experimenting beyond the course. |
Scenario-based learning | We provide scenario-based learning in the course for a better understanding of the concepts discussed and explored. |
Hands-on experience | We provide hands-on learning to learners by providing Llama 3 within our course, reinforcing theoretical knowledge through application. |