Prompt Engineering Techniques
In addition to understanding the core framework, mastering various prompt engineering strategies is crucial for enhancing the effectiveness and consistency of Large Language Models (LLMs). This article delves into a range of techniques for crafting prompts that enable more sophisticated tasks. Each section will also make connections back to the foundational framework, highlighting its importance in mastering these techniques.
Explore the techniques
Zero, Single, Few Shot prompting
A focused guide with practical steps and examples for this technique.
Chain of Thought (CoT) prompting
A focused guide with practical steps and examples for this technique.
Multimodel-CoT
LoginPreview this topic and sign in when you are ready to continue.
Self-Consistency
LoginPreview this topic and sign in when you are ready to continue.
Tree Of Thoughts Prompting
LoginPreview this topic and sign in when you are ready to continue.
Emotional prompting
A focused guide with practical steps and examples for this technique.
Meta Prompting
LoginPreview this topic and sign in when you are ready to continue.
Ralph Loop
LoginPreview this topic and sign in when you are ready to continue.
Prompt Priming
LoginPreview this topic and sign in when you are ready to continue.
Read more
The three phases
CRAFT
Craft (write) the prompt with the following elements: Context, Register, Acting Role, Format, and Task.
ING
Validate the prompt and ensure it maintains an interactive approach. Keep in mind the importance of non-disclosure and staying goal-driven throughout the process.
AI
Continuously assess and refine the output based on the prompts output to improve the overall quality.
