phi-2 vs ChatGPT Plugins

Microsoft's Phi-2, hosted on Hugging Face, represents a leap forward in the field of artificial intelligence with its substantial 2.7 billion parameters. The Transformer-based model, Phi-2, was meticulously trained on a diverse dataset encompassing both synthetic NLP texts and carefully filtered web sources to ensure safety and educational value. Phi-2 excels in benchmarks for common sense, language understanding, and logical reasoning, setting a high standard for models in its class.

This cutting-edge tool is designed primarily for text generation in English, providing a potent resource for NLP and coding tasks. Despite its capabilities, Phi-2 is recommended as a base for further development rather than a turnkey solution, and users are encouraged to be vigilant for potential biases and to verify outputs for accuracy. The model is available for integration with the latest transformers library and carries the permissive MIT license, promoting open science and democratization of AI.

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.