Prompt Learning
Machine Learning for Prompts
A better prompt can save lives
There are over 76,000 deaths in the US Healthcare system per year due to diagnosis errors.
​
Agentic AI is being used to augment safety by double checking diagnoses and treatment plans with doctor, nurse and pharmacist in-the-loop safety protocols.
High Scalability Means Better Prompts
Prompts can automatically improved with AI. Using historical data, machine learning can objectively improve prompts to increase accuracy. However, this process can computationally challenging.
​
Quante Carlo enables high scalability of prompt optimization by accelerating this process allowing you to generate better prompts faster.
The user selects a 'meta-prompt' which is used by multiple models such as Anthropic's Claude model and Open AI's Chat GPT model to generate 1000s of possible prompts. Then our proprietary technology efficiently evaluates the prompts using historical data to find the best prompts faster.