💡Prompt

Use Ownlayer to systematically version manage, optimize and iterate on the prompt you use in LLM application

Automated Prompt Generation

• 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).

Automated Prompt Optimization

• 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.

Seamless Deployment

• Deploy your chosen prompt version directly to production

These features are designed to enhance your prompt engineering workflow, from initial creation to final deployment.