Prompt engineering techniques, if done right, can help you get things right, better, and most importantly, faster …
Here are highlights from article Prompt Engineering for Salesforce Developers
1. Prompt engineering:
– Crafting clear prompts to guide the LLM in understanding what you want.
– Iterative process of refining words and sentences in natural language.
– Craft logic in language that the LLM understands to produce desired results.
2. Role prompting:
– Asking the LLM to behave as a specific persona.
– Adding a role to the prompt to make the results more relevant and meaningful.
– Example: “Act as a Salesforce Developer, expert in managing technical debt. Explain the best practices of Apex.”
3. Using delimiters:
– Using delimiters to clearly indicate distinct parts of the input.
– Helps the AI understand the request and produce better results.
– Example: “You are Senior Salesforce Developer, Expert in Clean Code Development. Explain the code enclosed within triple backticks and propose how to improve it.”
4. Few-shot prompt:
– Providing a small number of examples or demonstrations to guide the LLM in understanding a task.
– Allows the LLM to generalize and perform similar tasks based on the provided examples.
5. General guidelines for effective prompts:
– Be clear and specific from the beginning.
– Analyze why the results are not meeting expectations.
– Refine ideas and prompts through iteration.
– Repeat the process to continuously improve the prompts and desired outcomes.
You can read it here: https://sfdc.blog/KNDvw
Source from developer(dot)salesforce(dot)com