google-research/bert vs ChatGPT Plugins

The GitHub repository google-research/bert is a comprehensive resource for those interested in working with the BERT (Bidirectional Encoder Representations from Transformers) model, which is a method of pre-training language representations. Developed by researchers at Google, BERT has revolutionized the way machines understand human language.

The repository provides TensorFlow code and several pre-trained BERT models that can be used to build natural language processing (NLP) systems that understand textual input more effectively. With a wide range of applications in sentiment analysis, question answering, and language inference, this repository is an invaluable tool for developers and researchers looking to leverage the power of advanced NLP in their projects. The pre-trained models come in different sizes to accommodate various computational constraints, offering flexibility for deployment in different environments.

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.