💡Prompt
Use Ownlayer to systematically version manage, optimize and iterate on the prompt you use in LLM application
Last updated
Use Ownlayer to systematically version manage, optimize and iterate on the prompt you use in LLM application
Last updated
One-Click Prompt Generation: Effortlessly create prompts with a single click using proven and validated methodologies.
Supported Techniques:
Chain-of-Thought Reasoning: Generate prompts that encourage logical, step-by-step thinking to improve task accuracy.
Few-Shot Sentiment Classification: Design prompts with a few labeled examples to guide the model for sentiment analysis tasks.
Additional Established Approaches: Leverage other widely-recognized prompt engineering techniques (complete list available here).
Describe the Task: Clearly state the task or objective you aim to optimize for.
Provide Prompt Examples and Assign Scores: Include several example prompts and assign a score to each to establish a baseline for optimization.
Define Generative Settings:
Max Steps: Specify the maximum number of iterations the optimizer should perform.
Prompts per Step: Indicate the number of prompts to be generated or evaluated in each iteration.
Top K: Select the top K prompts to serve as the baseline for the next iteration.
Choose Your Scoring Agent:
Supervised Mode: Select a golden dataset to optimize prompt performance. Ensure the dataset includes at least two columns: inputs and references that represent your ideal output.
Unsupervised Mode: Provide a text description that clearly defines the goal or desired outcome for the prompts.
Deploy your chosen prompt version directly to production
These features are designed to enhance your prompt engineering workflow, from initial creation to final deployment.
