OpenAI launches enterprise version of ChatGPT with unlimited use of GPT-4 and new privacy protection features

Many companies are eager to introduce AI technology, but in fact they have no clue and have concerns about privacy. OpenAI officially announced the launch of ChatGPT Enterprise on Monday (August 28), which is the enterprise version of ChatGPT. As a new round of flagship products in the AI ​​boom, it provides enterprise-level security, privacy and deployment tools to protect company data and will not use customers. data for training.

OpenAI Director of Operations Brad Lightcap said in an interview with CNBC that ChatGPT Enterprise has been developed for less than a year, and more than 20 companies have participated in the research and development work, including industry leaders such as Block, Canva, cosmetics group The Estée Lauder Cos, PwC and Zapier, which are redefining their operations and use ChatGPT to communicate more clearly, speed up coding tasks, and quickly discover answers to complex business questions.

It provides unlimited GPT-4 usage, twice as fast usage of GPT-4 models, and has a longer content window to handle longer inputs, handles 32,000 tokens, advanced data analysis capabilities, customization options, and more to assist and enhance all aspects of our working lives, making teams more creative and productive.

In ChatGPT Enterprise, you own and control your business data. ChatGPT Enterprise is also SOC 2 compliant, and all conversations are encrypted in transit and at rest. Provides domain validation, SSO, and usage insights to enable large-scale enterprise deployments.

Whether it’s a financial researcher analyzing market data, a marketer analyzing survey results, or a data scientist debugging ETL scripts. If you want ChatGPT customized for your organization, you can use its new shared conversation templates to collaborate and build common workflows. If you need to extend OpenAI into a fully custom solution, its price includes free API usage. More customized features are being developed in the future, such as linking company data and applications.

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