OpenAI has announced the launch of its GPT Store. The store is now being made available to ChatGPT Plus, Team, and Enterprise users, providing access to a variety of GPTs developed by partners and the community.
The company said that the GPT Store, accessible at chat.openai.com/gpts, showcases a diverse range of GPTs across categories such as DALL·E, writing, research, programming, education, and lifestyle. Users can explore popular and trending GPTs on the community leaderboard, gaining insights into the latest developments.
Notable featured GPTs include personalised trail recommendations from AllTrails, academic paper search and synthesis with Consensus, coding skill expansion through Khan Academy’s Code Tutor, presentation and social post design with Canva, book recommendations with Books, and math and science learning with the CK-12 Flexi AI tutor.
OpenAI emphasises the simplicity of building and sharing GPTs, with no coding skills required. Users interested in sharing a GPT in the store must save it for everyone and verify their Builder Profile. OpenAI has introduced a review system, involving both human and automated reviews, to ensure compliance with usage policies and brand guidelines.
The GPT Store would allow users, specifically ChatGPT Plus and enterprise subscribers, to sell and share tailored AI agents based on GPT-4. OpenAI has announced that in Q1, it will launch a GPT builder revenue program. In this initial phase, US builders will be compensated based on user engagement with their GPTs. Further details on the criteria for payments will be provided later.
OpenAI recently expanded its ChatGPT offerings with the introduction of ChatGPT Team. ChatGPT Team features a dedicated collaborative workspace for teams and admin tools for efficient team management.
The newly introduced ChatGPT Team provides access to advanced models like GPT-4 and DALL·E 3, along with tools like Advanced Data Analysis. Similar to ChatGPT Enterprise, businesses using ChatGPT Team retain ownership and control over their data, with no training on business-specific data or conversations.
