Overview of Lora: Local LLM Integration for Flutter

Lora is a local large language model (LLM) designed specifically for integration within mobile applications using the Flutter framework. It offers a private AI experience for adults, focusing on security through on-device processing and ensuring that user data remains private with no tracking of personal information. Lora operates without the need for an internet connection, providing a seamless and secure user experience.

Key Features

• Privacy and Security: Lora processes all data locally on the device, ensuring that personal information is not sent to or stored on external servers.
• Minimal Censorship: The app allows for open and less restricted conversations, suitable for an adult audience.
• Ease of Integration: Lora can be integrated into applications with just one line of code using its SDK, simplifying the setup process for developers.
• Performance: The model is comparable to GPT-4o-mini, with 2.4 billion parameters, optimized for real-time inference on mobile devices.
• Resource Efficiency: Lora is designed to be lightweight and energy-efficient, consuming 3.5 times less energy and being 2.4 times faster than similar models.

Pricing Plans

Lora offers two main pricing tiers:

• Starter: Priced at $99 per month, this plan includes unlimited tokens, support for one application, and access to technical support.
• Enterprise: This plan is tailored for larger scale applications and includes extended support for multiple applications and frameworks, customization of the AI model, and one-on-one technical support. Pricing details are available upon contact.

Integration Workflow

The integration process for Lora involves several streamlined steps:

1. LLM Selection: Choose the appropriate LLM for your application needs.
2. Model Compression: Convert the selected model to a format optimized for mobile devices.
3. Package Integration: Integrate the compressed model into your application package.
4. Prompt Setting and Optimization: Configure and optimize the model settings for best performance.

Frequently Asked Questions

• What LLM model does Lora use?

  • Lora utilizes a fine-tuned version of the latest AI models, adapted specifically for local processing on mobile devices.

• How can I use the Lora SDK?

  • The SDK can be integrated into your Flutter application with a single line of code, detailed documentation is provided to guide the integration process.

• Does the Lora SDK support Flutter only?

  • Yes, Lora is currently designed to support the Flutter framework exclusively.

Lora is tailored for developers looking to incorporate a robust, private AI into their mobile applications without compromising on user privacy or requiring extensive setup. Its streamlined integration process and efficient performance make it a suitable choice for a wide range of mobile applications.

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