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node-llama-cpp is a JavaScript and Node.js binding that allows developers to run large language models locally using the high-performance inference engine provided by llama.cpp. The library enables applications built with Node.js to interact directly with local LLM models without requiring a remote API or external service. By using native bindings and optimized model execution, the framework allows developers to integrate advanced language model capabilities into desktop applications, server...

Handy is a free, open-source, offline speech-to-text application built for privacy, accessibility, and extensibility. Developed using Tauri (Rust + React/TypeScript), it runs natively across Windows, macOS, and Linux while performing local speech recognition without sending any audio to cloud servers. Handy allows users to start transcription instantly using a configurable keyboard shortcut—press to record, release to transcribe—and automatically pastes the resulting text into any active text field. Its backend leverages OpenAI’s Whisper models for GPU-accelerated speech recognition and Parakeet V3 for efficient CPU-only transcription with automatic language detection. ...

easy-learn-ai is a beginner-friendly AI learning resource project. It collects and explains AI concepts, prompts, model information, benchmarks, tutorials, and industry updates in a more accessible way. The project is designed for learners, developers, and creators who want to understand modern AI without being overwhelmed by fragmented technical material. It includes visual and interactive explanations for core topics such as tokens, prompts, LLMs, Transformers, and evaluation benchmarks....