Showing 3 open source projects for "privacy"

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    $300 Free Credits to Build on Google Cloud

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    LLM.swift

    LLM.swift

    LLM.swift is a simple and readable library

    LLM.swift is a Swift package that enables developers to run Large Language Models (LLMs) directly on Apple devices, including iOS, macOS, and watchOS. By leveraging Apple's hardware and software optimizations, LLM.swift facilitates on-device natural language processing tasks, ensuring user privacy and reducing latency associated with cloud-based solutions.​
    Downloads: 1 This Week
    Last Update:
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  • 2
    BrowserAI

    BrowserAI

    Run local LLMs like llama, deepseek, kokoro etc. inside your browser

    BrowserAI is a cutting-edge platform that allows users to run large language models (LLMs) directly in their web browser without the need for a server. It leverages WebGPU for accelerated performance and supports offline functionality, making it a highly efficient and privacy-conscious solution. The platform provides a developer-friendly SDK with pre-configured popular models, and it allows for seamless switching between MLC and Transformer engines. Additionally, it supports features such as speech recognition, text-to-speech, structured output generation, and Web Worker support for non-blocking UI performance.
    Downloads: 0 This Week
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  • 3
    Prem AI

    Prem AI

    Prem provides a unified environment to develop AI applications

    ...Prem provides a unified environment to develop AI applications and deploy AI models on your infrastructure. Abstracting away all technical complexities for AI deployment and ushering in a new era of privacy-centric AI applications - users can finally retain control and ownership of their models. The AI services expose an HTTP API interface, standardized for their interface type. For example, all models of type Chat expose the OpenAI API for easy of integration of existing tools and AI app ecosystem. Each service we support it's published on the Prem Registry.
    Downloads: 6 This Week
    Last Update:
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