All LLMs vs ChatGPT Plugins

Discover the expansive world of Large Language Models (LLMs) with the comprehensive directory at AllLLMs. Our website serves as a central repository for AI enthusiasts and experts to explore a diverse range of LLMs curated by John Rush. Whether you are interested in leveraging LLMs for analytical purposes, design tasks, educational content creation, or programming challenges, AllLLMs offers a user-friendly interface to browse through various categories and find the perfect model for your project. Our directory is continuously updated with the latest and most efficient LLMs tailored to a multitude of applications from audio processing to writing and everything in between.

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.