GGML - AI AT THE EDGE - GGML - AI AT THE EDGE - Tensor Library for Machine Learning

GGML - AI AT THE EDGE Product Information

What is GGML - AI AT THE EDGE?

The library focuses on simplicity, keeping the codebase minimal and easy to understand. It is offered under the MIT license with an open development process, encouraging contributors to experiment and push boundaries. GGML - AI AT THE EDGE powers projects such as the high-performance inference of OpenAI's Whisper automatic speech recognition model, supporting speech-to-text solutions across various platforms. Additionally, it facilitates efficient inference of Meta's LLaMA model and serves as the foundation for numerous LLM-based applications.

How to Use GGML - AI AT THE EDGE?

To support the project, the best way is by contributing to the codebase. Additionally, the project seeks full-time developers who share the vision of on-device inference and are interested in joining the team. For business inquiries, including support or enterprise deployment, please contact sales@ggml.ai.

Core Features of GGML - AI AT THE EDGE

• Low-level cross-platform implementation
• Integer quantization support
• Broad hardware support
• Automatic differentiation
• ADAM and L-BFGS optimizers
• Open Core with MIT license

Use Cases of GGML - AI AT THE EDGE

• High-performance inference of AI models
• Efficient inference of Meta's LLaMA model
• On-device speech-to-text solutions

FAQ about GGML - AI AT THE EDGE