Showing 4 open source projects for "remote control .net"

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    OllamaSharp

    OllamaSharp

    The easiest way to use Ollama in .NET

    OllamaSharp is an open-source .NET library that provides strongly typed bindings for interacting with the Ollama API, making it easier for developers to integrate local large language models into C# and .NET applications. The project acts as a wrapper around the Ollama API, exposing all endpoints through asynchronous methods that allow developers to perform tasks such as generating text, creating embeddings, and managing models.
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  • 2
    wllama

    wllama

    WebAssembly binding for llama.cpp - Enabling on-browser LLM inference

    wllama is a WebAssembly-based library that enables large language model inference directly inside a web browser. Built as a binding for the llama.cpp inference engine, the project allows developers to run LLM models locally without requiring a server backend or dedicated GPU hardware. The library leverages WebAssembly SIMD capabilities to achieve efficient execution within modern browsers while maintaining compatibility across platforms. By running models locally on the user’s device, wllama...
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  • 3
    llama.vim

    llama.vim

    Vim plugin for LLM-assisted code/text completion

    ...The plugin enables developers to access AI-assisted text and code completion features without leaving their terminal-based development environment. Instead of relying on remote AI services, the plugin is designed to work with locally running LLM inference engines such as llama.cpp. This approach allows developers to benefit from AI-assisted coding features while maintaining full control over their data and avoiding external API dependencies. The plugin focuses on simplicity and performance, providing fast completions and editing assistance even on consumer-grade hardware. ...
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  • 4
    Jlama

    Jlama

    Jlama is a modern LLM inference engine for Java

    Jlama is a modern inference engine written entirely in Java that enables developers to run large language models locally within Java applications. Unlike frameworks that require external APIs or remote services, Jlama performs inference directly on a machine using pre-trained models. This allows organizations to integrate generative AI features into their systems while maintaining full control over data privacy and infrastructure. The engine supports a wide range of open-source model architectures and formats, including variants of Llama, Mistral, and other transformer-based models. ...
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