

Unify AI
Overview :
Unify AI is a platform designed for developers that allows users to access and compare large language models (LLMs) from different providers through a unified API. The platform provides real-time performance benchmarks to help users choose and optimize the most suitable model based on quality, speed, and cost-efficiency. Unify AI also offers custom routing features, allowing users to set constraints on cost, latency, and output speed based on their needs and define custom quality metrics. Moreover, Unify AI's system updates benchmark data every 10 minutes based on the latest data and routes queries to the fastest provider, ensuring peak performance continuously.
Target Users :
Unify AI's target audience is primarily developers and engineers, especially those who develop and deploy on large language models. It is suitable for developers who need to quickly compare the performance of different models, optimize cost and speed, and need highly customized and automated model selection.
Use Cases
Developers use Unify AI to compare the performance of different models to choose the LLM that best suits their application.
Businesses utilize Unify AI's benchmark testing feature to evaluate and optimize the cost and speed of their AI solutions.
Research teams leverage Unify AI to obtain the latest model performance data to support their research endeavors.
Features
Access all large language models through a unified API
Real-time performance benchmarks for comparing response speed and cost of different models
Custom routing to optimize model selection based on specific requirements
System automatically routes queries to the fastest provider, guaranteeing response speed
Transparent benchmark testing to help users objectively evaluate different models and providers
Provides detailed documentation and guidelines to help users get started and use the platform quickly
How to Use
1. Create a Unify AI account and log in.
2. Add the LLM endpoints you need to compare and use.
3. Use Unify AI's benchmark testing feature to evaluate the performance of different models.
4. Based on the evaluation results and customized needs, set up routing rules.
5. Send queries through Unify AI's API to get the optimal model's response.
6. Adjust and optimize routing rules based on real-time performance feedback.
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