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Introduction to Prompt Engineering

Glossary

Understanding Large Language Models (LLMs)

Two Types of Large Language Models (LLMs)

Foundations of Prompt Engineering

Prompting is the Backbone of an LLM

What is Prompt Engineering?

Two Layers of Prompts

Prompt engineering for conversational LLM applications comprises two layers of prompts:

What are system prompts?

What are user prompts?

The Two Layers of Prompt Engineering

The Importance of Prompt Engineering

Fundamentals of Prompt Engineering

Crafting and Evaluating Prompts

Crafting Effective Prompts: Step-by-Step

Common Pitfalls in Prompt Engineering

Zero-Shot Learning in Prompt Engineering

Definition

Application

Challenge

Implementing Zero-Shot Learning

Zero-Shot, One-Shot, and Few-Shot Learning

Advanced Techniques in Prompt Engineering

Advanced Prompt Engineering Techniques

Chain-of-Thought Prompting

Prompt Chaining Technique

Retrieval-Augmented Generation (RAG)

Assessment and Feedback

Quiz 

Introduction to Prompt

Engineering

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            <p>The course titled "Introduction to Prompt Engineering" is designed to provide a comprehensive understanding of the principles and practices involved in crafting effective prompts for large language models (LLMs). As the field of artificial intelligence continues to evolve, the ability to communicate effectively with these models becomes increasingly critical. This course will explore the foundational concepts of prompt engineering, including its definition, purpose, and applications, while also delving into the various types of LLMs and the significance of prompting as a core component of their functionality. Participants will engage with a structured curriculum that not only covers theoretical aspects but also emphasizes practical skills through hands-on activities and assessments.</p>

<p>Throughout the course, learners will gain insights into advanced techniques such as zero-shot learning, chain-of-thought prompting, and prompt chaining, which are essential for maximizing the potential of LLMs in real-world applications. The curriculum is organized into distinct sections, each focusing on key topics such as understanding LLMs, crafting and evaluating prompts, and exploring common pitfalls in prompt engineering. By the end of the course, participants will be equipped with the knowledge and skills necessary to effectively design prompts that enhance the performance of LLMs, thereby enabling them to leverage these powerful tools in various domains. This course serves as both an introduction for newcomers and a valuable resource for those seeking to refine their expertise in prompt engineering.</p>
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