Query Vary
Description:
Query Vary is a tool designed to help developers design, test, and refine prompts for their LLM applications with an efficient and effective testing suite. It offers features such as prompt optimization, prompt analytics, abuse prevention, embedding of fine-tuned LLMs into JavaScript, and multi-model comparison. It is designed to save up to 30% time with efficient prompt testing, increase productivity by 80%, reduce the chance of application abuse by 50%, and improve the quality of outputs by 89%. It is trusted by top companies and comes with flexible plans to fit every budget and need.
š© WARNING:Ā This tool has been flagged for either trying to game the upvote system, poor customer reviews, or shady practices!Ā Please be aware and use this tool with caution. It is currently under review! Upvoting has been turned off for this tool until we've come to a conclusion.
A tool for developers to optimize, test, and refine LLM prompts.
Note: This is a Google Colab, meaning that it's not actually a software as a service. Instead it's a series of pre-created codes that you can run without needing to understand how to code.
Note: This is a GitHub repository, meaning that it is code that someone created and made publicly available for anyone to use. These tools could require some knowledge of coding.
Pricing Model:
Freemium
Price Unknown / Product Not Launched Yet
This tool offers a free trial!
Special Offer For Future Tools Users
This tool has graciously provided a special offer that's exclusive to Future Tools Users!
Use Coupon Code:Ā
šMatt's Pick - This tool was selected as one of Matt's Picks!
Note:Ā Matt's picks are tools that Matt Wolfe has personally reviewed in depth and found it to be either best in class or groundbreaking. This does not mean that there aren't better tools available or that the alternatives are worse. It means that either Matt hasn't reviewed the other tools yet or that this was his favorite among similar tools.
Share This Tool:
Check out
Query Vary
-
A tool for developers to optimize, test, and refine LLM prompts.
:
