Artificial intelligence has brought a revolution in bringing changes in everyday workplace tasks. From real-time monitoring of operations to generating actionable insights, AI technology has compelled organizations to view the consequences of sensitive data being used in public large language models. Private ChatGPT is far different from public ChatGPT. This makes it a favorable choice for organizations who want to secure private AI services for the organization.
For instance, a user trying to ask ChatGPT for a document; if this document comprises confidential information about the organization, if it has some intellectual property or some sensitive information types. This blog post sheds light on how one can overcome the multiple risks involved in public ChatGPT and how it can be avoided by creating a private AI service for your organization.
Nowadays, in the rapidly evolving tech atmosphere where everything is automated and digital. Data loss is the most important AI risk today. AI risks have resulted in organizations rethinking and paved the way for giant leaders to take a step ahead eliminating all worries. Crafting an advanced approach to introducing controlled usage of generative AI in a Microsoft-based organization. To have a complete understanding of public AI services we have to first analyze the risks involved in organizations usage of public ChatGPT.
The Samsung data leak tragedy is one such instance where developers asked ChatGPT for assistance in analyzing their source code. Subsequently, Samsung banned generative AI tools. OpenAI has played a revolutionary technology in the AI world. It comes with an option that can disable chat history. Chat history is beneficial but for some instances users cannot turn it off and whatever queries are made, it gets stored in ChatGPT. This can be used for training future models.
Harnessing public ChatGPT may result in conversational prompts passing through OpenAI’s server. Therefore, it always remains data protection and confidentiality. Contrarily, Private GPT for companies is specially designed for commercial uses and provides greater flexibility. Our private GPT system comes with a wide plethora of features enabling organizations to leverage its potential in specialized ways. Private GPT helps in the coordination of tasks and performs well with different text formats comprising PDF, word, and CSV.
As a new large language model, Private GPT offers access to the GPT-3 and GPT-4 technology in an environment. It allows organizations to opt for customization suiting the specific needs.
Private GPT can be installed within organizations’ internal software. It grants users and renders access to its potential while keeping data within the confines of the organization. Privacy and control is effective for businesses that can tackle sensitive information.
Private chatGPT for enterprise has several use cases in organizations. Private GPT keeps the data decentralized and keeps it secure. These models are trained in a way that keeps sensitive data confidential from the output text responses. It is built on a private server and trained with the company's software depending on the industry workflow, guidelines and documents.
Saran
July 04, 2024 Author