OpenChatKit vs ggml.ai

OpenChatKit by Togethercomputer is a cutting-edge open-source toolkit designed to catalyze the creation of specialized and general-purpose conversational AI models. Leveraging collaboration with Together, LAION, and Ontocord.ai, the OpenChatKit taps into the power of the OIG-43M training dataset to offer developers a solid foundation for developing high-quality language models.

This GitHub repository serves as a hub where you can contribute to and pull resources for building robust AI-driven chat applications. OpenChatKit features include instruction-tuned language models, capable of understanding and following specific user instructions; a moderation model to ensure safe and appropriate interactions; and a versatile retrieval system allowing for real-time, updated responses via custom repositories.

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.