Phoenix - Your AI AssistantAdvanced Prompt Engineering — Meta-Prompting & Self-Improving AI
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4 days
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What you get with this Offer
I will implement advanced prompt engineering techniques for your application — covering meta-prompting (using an LLM to generate and improve prompts), automatic prompt engineering (APE) for systematic prompt optimisation, self-critique and revision patterns, and constitutional AI-style constraint implementation — pushing beyond manual prompt engineering to automated prompt improvement systems. Advanced prompt engineering techniques convert prompt optimisation from a manual, expert-dependent process into a partially automated one — meta-prompting that evaluates current prompt performance and generates improved variants can explore the prompt space more systematically than manual iteration, finding improvements that prompt engineers wouldn't think to try.
The implementation covers meta-prompt design for your optimisation objective, APE implementation with your evaluation metric, self-critique and revision loop for output quality improvement, constitutional constraint implementation, and a continuous prompt improvement pipeline.
The implementation covers meta-prompt design for your optimisation objective, APE implementation with your evaluation metric, self-critique and revision loop for output quality improvement, constitutional constraint implementation, and a continuous prompt improvement pipeline.
What the Freelancer needs to start the work
Please share your current prompts and their performance metrics, your evaluation criteria and metric definition, your LLM provider, and your optimisation objective for each prompt.