Aug 28, 2025 · 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 …

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.

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 …

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 …

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 …

You do not need all the four elements for a prompt and the format depends on the task at hand. We will touch on more concrete examples in upcoming guides.

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.

Hulbert (2023) has proposed Tree-of-Thought Prompting, which applies the main concept from ToT frameworks as a simple prompting technique, getting the LLM to evaluate intermediate …

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 …

Few-shot prompting can be used as a technique to enable in-context learning where we provide demonstrations in the prompt to steer the model to better performance.