OpenAI, the company behind ChatGPT, has finally launched its long-awaited GPT Store, a marketplace for personalized artificial intelligence (AI) applications. The GPT Store aims to make it easier for users to find and create tailored versions of ChatGPT for various tasks and share them with others.
With GPTs becoming increasingly popular, OpenAI’s GPT Store features a wide range of AI models developed by OpenAI’s partners and the community. Users can browse popular and trending GPTs on the community leaderboard, which includes categories such as writing, research, programming, education, and lifestyle.
The GPT Store is integrated into the ChatGPT chatbot, providing users with a seamless experience to discover and build their own GPTs. These AI models can be customized for specific tasks such as teaching math or designing stickers. However, only subscribers to OpenAI’s paid tiers have the ability to create and use custom GPTs.
OpenAI sees the GPT Store as an opportunity to build upon the success of ChatGPT, which quickly gained popularity upon its launch in 2022 but experienced a decline in growth when schools were out of session and the novelty wore off.
Initially, the GPT Store will be rolled out to ChatGPT Plus users. OpenAI plans to introduce a monetization option for GPT creators, allowing them to earn from their personalized AI creations. This move is expected to encourage further innovation and development in the AI community.
In addition to the GPT Store, OpenAI has also introduced a new paid version of ChatGPT called ChatGPT Team. This version targets smaller teams and offers a secure and collaborative workspace for users to maximize the benefits of ChatGPT at work. With features such as an admin console for workspace management and early access to new features, ChatGPT Team is priced between $25 to $30 per user per month.
OpenAI’s GPT Store and ChatGPT Team aim to expand the availability and usability of AI models, catering to various use cases and providing users with more options for customization and collaboration.
The source of the article is from the blog krama.net