Internal Chat GPT
NLP
GPT
We have prepared a demo of a classic Chat GPT that can be fully operated within your own network, without the need for connection to external servers. Your AI assistants will be completely private, ensuring that no data will be shared with third parties or external providers. This system is built on open-source technologies, meaning you won’t have to pay for subscriptions or any tokens. Additionally, it allows full control over its implementation and security, thereby reducing costs and increasing data security.
| Název | Popis | Odkaz |
|---|---|---|
| ZARO AI Chat | ZARO AI Chat is designed to manage the complete communication history of each user, storing all data directly in your internal database. This means that all messages, conversations and interactions between users are securely stored and available only within your network, without the need to share with external providers. This approach ensures full control over sensitive information and a high level of data security. Communication history allows you to track the evolution of interactions, quickly resolve queries and better understand user needs. ZARO AI Chat thus delivers a combination of security, privacy and efficient real-time communication management. | |
| ZARO AI Open Web UI Chat | ZARO AI Open Web UI Chat is built on the Open Web UI platform, which offers a higher level of flexibility for individual users. This system allows individuals to create and customize their own AI environment to their exact needs and preferences, making it ideal for advanced users who want full control over the AI assistant's features and settings. Additionally, the Open Web UI is open and extensible, allowing for the integration of additional tools and features for even greater personalization. On the other hand, this environment can be more complex to configure and manage for less tech-savvy users. Despite this increased complexity, ZARO AI Chat 2 provides an extraordinary level of control and customization, making it ideal for users who want to experiment and optimize their AI solution to their own requirements. |