DEFINITION
Automated prompt engineering is usage of proper and reliable structure, optimization and algorithms to derive most systemized and improved outputs, while better training for LLM with their prompts.
This involves trying out various prompts, instructions and examples to provide the best output for a certain task. Depending on the approach, you can use metrics, model responses, data sets and testing to find the best prompts.
Benefits
- Better Outputs – Can help find the best prompts for each task.
- Time Saving – Can reduce tedious trial and error.
- Consistent Outputs – Can help provide consistent outputs.
- Easier to Scale – Can make it easier to optimise prompts.
Applications
- Improving accuracy in document classification and information extraction.
- Testing prompts for AI generated product descriptions and SEO.
- Improving prompts for automatically generated reports and customer support.
- Optimising prompts for Chatbots and AI assistants in enterprises.
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.
