I have developed a high-performance interface for Llama.cpp that leverages the GPU acceleration available on my hardware through Intel oneAPI, providing capabilities comparable to NVIDIA's GPU computing platform.
The application is fully Whisper-enabled, allowing seamless speech-to-text input directly into the interface. Users can switch between multiple Large Language Models (LLMs) using an integrated drop-down selector without restarting the application.
In addition to AI capabilities, the platform includes a comprehensive Create, Read, Update, and Delete (CRUD) framework, providing full data management functionality across all application modules. This enables users to efficiently create, edit, organize, search, and maintain records while interacting with local AI models through a modern, GPU-accelerated interface.
The result is a complete AI development environment that combines local LLM inference, voice interaction, GPU acceleration, dynamic model selection, and enterprise-grade data management into a single, integrated platform.