supervised.co vs ggml.ai

Supervised AI is revolutionizing the way AI and large language model (LLM) projects are designed, built, and scaled. Offering a platform that simplifies and accelerates the development process, Supervised AI enables users to create lightning-fast scalable AI projects with ease. The platform boasts a user-friendly interface where projects can be built, tested, iterated, and scaled effortlessly. With a robust infrastructure verified across extensive parameters, Supervised AI ensures optimal scalability for your LLM projects. The website also features a broad range of resources, including a product roadmap, an investor's pitch deck, and a compelling demonstration video to showcase its potential. Whether you're a developer, entrepreneur, or institution, Supervised AI has tailored solutions for everyone, trusted by top organizations globally. Enjoy a seamless start with their free sign-up option or book a demo to discover more about what Supervised AI offers.

ggml.ai is at the forefront of AI technology, bringing powerful machine learning capabilities directly to the edge with its innovative tensor library. Built for large model support and high performance on common hardware platforms, ggml.ai enables developers to implement advanced AI algorithms without the need for specialized equipment. The platform, written in the efficient C programming language, offers 16-bit float and integer quantization support, along with automatic differentiation and various built-in optimization algorithms like ADAM and L-BFGS. It boasts optimized performance for Apple Silicon and leverages AVX/AVX2 intrinsics on x86 architectures. Web-based applications can also exploit its capabilities via WebAssembly and WASM SIMD support. With its zero runtime memory allocations and absence of third-party dependencies, ggml.ai presents a minimal and efficient solution for on-device inference.

Projects like whisper.cpp and llama.cpp demonstrate the high-performance inference capabilities of ggml.ai, with whisper.cpp providing speech-to-text solutions and llama.cpp focusing on efficient inference of Meta's LLaMA large language model. Moreover, the company welcomes contributions to its codebase and supports an open-core development model through the MIT license. As ggml.ai continues to expand, it seeks talented full-time developers with a shared vision for on-device inference to join their team.

Designed to push the envelope of AI at the edge, ggml.ai is a testament to the spirit of play and innovation in the AI community.