Prompt Picker helps you choose the optimal system prompts for generative AI applications. By using example interactions, it assists in running and assessing experiments to find the best configurations.
Prompt Picker helps you choose the optimal system prompts for generative AI applications. By using example interactions, it assists in running and assessing experiments to find the best configurations.
Prompt Picker is a SaaS tool designed to optimize system prompts for generative AI applications by leveraging example user interactions. It allows users to run experiments, evaluate generated outputs, and determine the best configurations. This process helps improve the performance of LLM-powered applications, resulting in more effective and efficient AI operations.
Who will use Prompt Picker?
AI developers
Machine Learning Engineers
Data Scientists
Tech Enthusiasts
Businesses using LLMs
Research Institutions
How to use the Prompt Picker?
Step1: Go to the Prompt Picker website.
Step2: Configure your experiment settings.
Step3: Input example user interactions.
Step4: Run the experiment to generate outputs.
Step5: Assess and compare results.
Step6: Identify the best-performing prompts.
Platform
web
Prompt Picker's Core Features & Benefits
The Core Features
Run experiments
Generate optimal prompts
Assess output quality
Customizable settings
User-friendly interface
The Benefits
Improves AI performance
Increases efficiency
Easy to use
Provides actionable insights
Supports various AI applications
Prompt Picker's Main Use Cases & Applications
Optimizing customer service chatbots
Enhancing virtual assistants
Improving AI-driven content generation
Fine-tuning language models
Prompt Picker's Pros & Cons
The Pros
Enables parallel testing of multiple prompts for better iteration.
Helps reduce query token costs by identifying the shortest effective prompts.
Improves AI response usefulness through calibrated custom instructions.
Uses an established ELO rating system for objective prompt ranking.
Currently free with plans for paid tiers offering more features.
The Cons
Only supports GPT-3.5-turbo at present, GPT-4 support is pending.
May require user effort to configure experiments and assess results.
Potentially limited feature set until paid tier is introduced.