Fundamentals of Prompt Engineering is designed to help you unlock the full potential of large language models (LLMs) by mastering the art of prompt design. In this course, you’ll learn to craft effective prompts, manage model outputs, and apply innovative techniques to various use cases such as text summarization and sentiment extraction. You will explore advanced prompting strategies like few-shot and chain-of-thought (CoT) prompting, while also understanding the risks associated with prompt engineering, including prompt injection and leaking. By the end, you’ll be equipped to create secure, efficient, and creative prompts that drive high-quality outputs across multiple domains.
What you'll learn
- Design effective prompts to control model behavior.
- Manage and optimize LLM outputs for various tasks.
- Apply prompts for summarization, sentiment analysis, and more.
- Mitigate risks like prompt injection and jailbreaking.
- Use advanced techniques like few-shot and CoT prompting.
- Explore innovative methods like PAL and ReAct for enhanced performance.
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