Unify
What does it do?
- API Integration
- Language Model Optimization
- Performance Benchmarking
- Model Combination
- Streaming Responses
How is it used?
- Get API key
- send query
- receive optimized LLM response.
- 1. Obtain API key
- 2. Send query thru API
Who is it good for?
- AI Researchers
- Data Scientists
- Business Analysts
- Software Developers
- Startup Founders
Details & Features
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Made By
Unify -
Released On
2022-10-24
Unify.ai is a platform that provides unified access to multiple large language models (LLMs) through a single API. This software enables users to combine various AI models to generate faster, more cost-effective, and higher-quality responses, simplifying the process of integrating and managing multiple LLMs for diverse applications.
Key features:
- Unified API Access: Allows users to access all LLMs across different providers using a single API key, simplifying integration and reducing complexity.
- Custom Routing: Enables users to set up cost, latency, and output speed constraints, as well as define custom quality metrics for personalized query routing.
- Performance Optimization: Systematically sends queries to the fastest provider based on benchmark data refreshed every 10 minutes, ensuring peak performance.
- Model Combination: Combines multiple models to deliver responses that are faster, cheaper, and of higher quality than those from any single model.
- Streaming Responses: Supports streaming responses for real-time interaction and faster data retrieval.
- Extensive Model Support: Includes various models such as Mixtral-8x7B Instruct v0.1 and Meta's LLaMa2 70B Chat, each benchmarked for performance metrics.
How it works:
1. Obtain an API key from Unify.ai.
2. Use the API to send a query.
3. Receive a response based on the selected model and provider, optimized for specified constraints.
Integrations:
Anyscale, Meta, and other LLM providers
Use of AI:
Unify.ai leverages generative AI by combining multiple LLMs to generate responses. This approach ensures optimal output by utilizing the strengths of different models. The platform's performance metrics and custom routing capabilities enhance the efficiency and quality of the generative AI features.
AI foundation model:
Unify.ai is built on a foundation that supports various large language models, including Mixtral-8x7B Instruct v0.1 and Meta's LLaMa2 70B Chat. The platform is designed to work with multiple LLM providers, ensuring flexibility and broad compatibility.
Target users:
- Developers integrating multiple LLMs into applications
- Businesses optimizing AI-driven services for cost, speed, and quality
- Researchers and academics requiring access to various LLMs
- Enterprises seeking scalable and efficient AI solutions for diverse use cases
How to access:
Unify.ai is available as an API, allowing developers to integrate it into various applications and services.
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Supported ecosystemsMeta
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What does it do?API Integration, Language Model Optimization, Performance Benchmarking, Model Combination, Streaming Responses
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Who is it good for?AI Researchers, Data Scientists, Business Analysts, Software Developers, Startup Founders