Generated by Gemini:Seeker is a retrieval-augmented generation (RAG) AI chat platform that leverages quantum computing to securely extract and analyze information from large data sets. It provides trustworthy insights and optimization for organizations. Seeker utilizes radical transparency with the user having control over the data and process used for the responses given. It goes beyond all the features of ChatGPT and other leading Large Language Models (LLMs).
Here are some of the key features of Seeker:
- Radical transparency: Seeker provides radical transparency to the user, who has control over the data and process used for the responses given. This ensures that users can trust the information they are receiving and understand how it was generated.
- Large data set analysis: Seeker leverages quantum computing to securely extract and analyze information from large data sets. This allows it to provide insights that would not be possible with traditional AI chat platforms.
- Trustworthy insights: Seeker provides trustworthy insights by carefully considering the context of the query and the user's intent. It also flags any potential biases or limitations in the data or analysis.
- Optimization for organizations: Seeker can be used to optimize a variety of organizational processes, such as product development, customer service, and risk management.
- Easy to use: Seeker is easy to use and does not require any prior knowledge of AI or quantum computing.
Seeker is a valuable tool for anyone who wants to access trustworthy insights from large data sets. It is particularly well-suited for organizations that need to make data-driven decisions.
I hope this summary is helpful. Please let me know if you have any other questions.
