Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics.

This comprehensive guide covers the theory and practical aspects of prompt engineering and how to leverage the best prompting techniques to interact and build with LLMs.

This approach of designing effective prompts to instruct the model to perform a desired task is what's referred to as prompt engineering in this guide. The example above is a basic …

While the previous basic examples were fun, in this section we cover more advanced prompting engineering techniques that allow us to achieve more complex tasks and improve reliability …

You can start with simple prompts and keep adding more elements and context as you aim for better results. Iterating your prompt along the way is vital for this reason. As you read the …

As we cover more and more examples and applications with prompt engineering, you will notice that certain elements make up a prompt. A prompt contains any of the following elements:

Dec 20, 2025 · In this section, we will cover advanced and interesting ways we can use prompt engineering to perform useful and more advanced tasks with large language models (LLMs).

This section will provide more examples of how to use prompts to achieve different tasks and introduce key concepts along the way. Often, the best way to learn concepts is by going …

The following are the latest papers (sorted by release date) on prompt engineering for large language models (LLMs). We update the list of papers on a daily/weekly basis.

Large Language Models (LLMs) offer immense power for various tasks, but their effectiveness hinges on the quality of the prompts. This blog post summarize important aspects of designing …