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Prompt Optimizer

Use Quantitative Metrics to Build Better Prompts.

What is this?

can be notoriously hard to use. It is common practice to provide these general models context that can push them to act in a way more

We call this context a prompt.


The field of prompt engineering is largely based on trial and error. You try things out and see what works. This tool removes the guess work by providing real numbers to predict how well a LLM will behave in a large variety of ways.


These numbers represent how well an LLM will focus on a certain area of knowledge or how patient it will be in dialogue. We are also able to provide custom categories to help you achieve your specific goals.


How do I use it?

Step 1: Tell us what the prompt should achieve.

This doesn't have to be precise, we just use this to figure out what categories may be useful to you.

Step 2: Select 2-5 relevant categories.

We have a collection of thousands of curated categories to match your goals,

Category Select
Epistemology
Metaphysics
Logic
Ethics
Aesthetics
Political Philosophy

Step 3: Provide your prompt, or let us generate one for you.

We automatically generate a prompt based on the categories you selected, although

Recommended Prompt:

You can also provide your own starting point.

Scores:

Category Network Recognition Primary Category
Epistemology
38%
Metaphysics
Ethics
72%
Value Theory
Aesthetics
44%
Value Theory
Logic
38%
Metaphysics
Philosophy of Mind
83%
Metaphysics

Step 4: Iterate and improve your prompt.

Change the prompt to optimize for the categories and behaviours you are looking for.

Category Network Recognition Change Primary Category
Epistemology
50%
5% Metaphysics
Ethics
83%
14% Value Theory
Aesthetics
33%
9% Value Theory
Logic
44%
14% Metaphysics
Philosophy of Mind
0%
2% Metaphysics

But how does it really work?

We have reverse-engineered parts of a number of to find what parts of the network resonate with different sections of their training

We are in the proccess of writing an in-depth guide on how everything works and where our current models are lacking, so stay tuned!

Is it free?

The basic version is free and will remain free, but we are also working on a premium version that allows greater observation of the model's behaviour and allows users to create their own categories with custom data sets. Beyond that we also offer services to create custom categories for specific use cases as well as creating custom prompts for your specific needs.

What is on the roadmap?

We are currentely working with our initial users to improve the general experience. Over the next year, we plan on enabling automatic iteration to generate the best possible prompt for your use case. We are actively listenting to our users and are open to suggestions.