10 Prompt Engineering Techniques Every Developer Should Know
Sarah Chen
March 5, 2024
#Prompting#AI#DevOps
Beyond Simple Chatting
For a developer, a prompt isn't just a question; it's a function call where the LLM is the execution engine.
1. Few-Shot Prompting
Providing examples is the most effective way to guide an LLM's output format and style.
Input: Translate "Hello" to French. Output: Bonjour Input: Translate "Goodbye" to French. Output: Au revoir Input: Translate "AI is great" to French. Output:
2. Chain of Thought (CoT)
Asking the model to "think step by step" reduces hallucinations and improves logical reasoning significantly.
3. The Delimiter Strategy
Use clear delimiters like triple quotes (""") or XML tags to separate instructions from the content being processed.
This prevents "prompt injection" where the user input might contain commands that confuse the model.
sdfdssssssssssssssssssssssssssssssssssssssssssssssssss