What is Lora?
Lora offers a streamlined solution for developers seeking to integrate local Large Language Models (LLMs) into their mobile applications. It provides a Software Development Kit (SDK) designed for ease of use, enabling LLM integration with just a single line of code. The service eliminates complex setup processes by offering a pre-configured package that includes a fine-tuned, device-tested, and Flutter-ready LLM.
The Lora LLM itself is optimized for mobile environments, boasting performance comparable to GPT-4o-mini while being significantly lighter (1.5GB, 2.4B parameters), faster, and more energy-efficient for real-time inference on both iOS and Android platforms. This approach simplifies the typically intricate workflow of LLM selection, model compression, mobile optimization, packaging, prompt setting, and integration, allowing developers to quickly enhance their apps with powerful AI capabilities.
The Lora LLM itself is optimized for mobile environments, boasting performance comparable to GPT-4o-mini while being significantly lighter (1.5GB, 2.4B parameters), faster, and more energy-efficient for real-time inference on both iOS and Android platforms. This approach simplifies the typically intricate workflow of LLM selection, model compression, mobile optimization, packaging, prompt setting, and integration, allowing developers to quickly enhance their apps with powerful AI capabilities.
Features
- Local LLM Integration: Seamlessly integrate a powerful local Large Language Model into applications.
- One-Line Code Integration: Utilizes an SDK for integration with just a single line of command.
- Pre-Optimized Model: Offers a fine-tuned, device-tested LLM (1.5GB, 2.4B parameters).
- Mobile Optimized: Designed for real-time inference on iOS and Android with lower energy use, lighter size, and faster speed.
- Flutter Ready: Specifically prepared for integration into the Flutter framework.
- GPT-4o-mini Level Performance: Delivers AI capabilities comparable to GPT-4o-mini.
- Simplified Workflow: Abstracts the complexity of LLM selection, compression, optimization, and packaging.
Use Cases
- Integrating advanced AI capabilities into mobile applications.
- Developing offline-capable AI features for iOS and Android apps.
- Enhancing Flutter applications with on-device LLM processing.
- Building private AI assistant features within mobile apps.
- Simplifying the deployment of local LLMs for mobile developers.
FAQs
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What LLM model does Lora use?
Lora uses a fine-tuned version of a recent AI model, optimized for mobile performance. -
How can I use the Lora SDK?
The Lora SDK allows integration into your application with a single line of code after setting up. -
Does Lora SDK support only Flutter?
Currently, the Starter plan supports the Flutter framework. Extended framework support is available under the Enterprise plan.
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