ggml.ai vs ChatGPT Plugins

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.

OpenAI follows an iterative deployment philosophy, and as part of this approach, it is gradually releasing plugins for ChatGPT. The purpose of this gradual release is to study the real-world use of the plugins, assess their impact, and identify any safety and alignment challenges that may arise. Getting these aspects right is essential for OpenAI to achieve its mission.

Since the launch of ChatGPT, users have expressed interest in having access to plugins, and many developers are experimenting with similar ideas. OpenAI is initially rolling out plugins to a small set of users and plans to gradually increase access as it learns more. After an alpha period, API users who want to integrate plugins into their products will also have access. OpenAI is excited to build a community that will help shape the future of the human-AI interaction paradigm.

Developers who have been invited off the waitlist can use OpenAI's documentation to build a plugin for ChatGPT. Once the plugin is created, it is listed in the prompt shown to the language model, along with documentation that instructs the model on how to use each one. The first set of plugins has been created by Expedia, FiscalNote, Instacart, KAYAK, Klarna, Milo, OpenTable, Shopify, Slack, Speak, Wolfram, and Zapier.