Narrow AI
Narrow AI Overview
Narrow AI is a powerful tool designed to optimize the use of AI models, significantly reducing costs and improving efficiency. It enables users to test new models in minutes, compare prompt performance across different models, and deploy the most suitable model for their specific use case. The tool also offers automated prompt optimization, ensuring high-quality AI generations. With Narrow AI, users can curate datasets directly from their production logs, find the best model and provider for their task, and retrain their prompts to work on smaller models with just one click. The tool has received positive feedback from users, with testimonials highlighting its ability to generate expert-level prompts, improve accuracy, and reduce AI costs.
Narrow AI Highlights
- Narrow AI reduces AI spend by 95% by using cheaper models and optimizing prompts for quality, cost, and speed.
- The tool allows users to test new models in minutes, not weeks, and easily compare prompt performance across different models.
- Users can automatically generate expert-level prompts and adapt them to new models as they are released.
Use Cases
A tech startup is developing a new AI model for their product but is struggling with high costs and time-consuming testing processes. They decide to use Narrow AI to streamline their model testing and optimization. They utilize the tool to test their new model in minutes, compare its performance with other models, and optimize the prompts for quality, cost, and speed.
The startup is able to significantly reduce their AI spend by 95%, improve the accuracy of their model, and speed up their testing process from weeks to minutes. They are also able to generate expert-level prompts and adapt them to their new model, further enhancing its performance.
A data science team in a large corporation is tasked with curating a dataset from their production logs and selecting the best AI model for their task. They use Narrow AI to automate these processes. The tool allows them to curate the dataset directly from their logs and compare the performance of different models to select the most suitable one.
The team is able to curate their dataset and select the best model in a fraction of the time it would have taken manually. They also manage to reduce their AI costs and improve the accuracy of their task.
An AI consultancy firm needs to retrain their prompts to work on smaller models for a client project. They use Narrow AI to automate the retraining process and deploy the retrained prompts with just one click. The tool also allows them to optimize the prompts for the smaller models.
The consultancy firm is able to retrain their prompts and deploy them on the smaller models quickly and efficiently. They also manage to optimize the prompts for the smaller models, improving their performance and reducing the client's AI costs.