Narrow AI

What is Narrow AI

Narrow AI is an automated prompt engineering tool that optimizes and monitors AI prompts for various models, allowing users to ship AI features significantly faster and at reduced costs. By utilizing Automated Prompt Optimization, it enhances accuracy and reduces latency while cutting AI spending by up to 95%. Users can quickly test, compare, and deploy the most efficient models for their needs, ensuring high-quality results and streamlined AI operations.

Key Features of Narrow AI

- Automated Prompt Engineering: Autonomously writes, monitors, and optimizes prompts for various models, reducing the need for manual intervention.

- Cost Reduction: Uses cheaper models to cut AI spending by up to 95%, improving cost-efficiency.

- Enhanced Accuracy: Implements Automated Prompt Optimization to improve the accuracy of responses.

- Low Latency Models: Achieves faster responses by utilizing models with lower latency rates.

- Prompt Performance Comparison: Allows easy comparison of prompt performance across different LLMs (Large Language Models).

- Cost and Latency Benchmarks: Provides cost and latency benchmarks for each model, aiding in cost-effective decision-making.

- Optimal Model Deployment: Enables deployment on the most suitable model for your specific use case.

- Rapid Feature Shipping: Facilitates the shipping of LLM features up to 10 times faster than traditional methods.

- Expert-Level Prompts: Automatically generates prompts that are of expert-level quality.

- Adaptation to New Models: Adapts prompts to new models as they are released, ensuring up-to-date performance.

- Quality, Cost, and Speed Optimization: Optimizes prompts focusing on quality, cost, and speed metrics.

- Dataset Curation: Allows users to curate datasets directly from production logs for better training material.

- Single-Click Retraining: Offers one-click retraining of prompts to work on smaller models.

- API Integration: Provides a user-friendly API that optimizes user-prompts in real-time, enhancing the overall AI performance.