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Common Question
Common Question
Common Question
Frequently Asked Questions
Frequently Asked Questions
What is Qluent?
Qluent is a smart business analytics assistant, designed to enable non-technical users to access, explore and gain insights from their business data. It leverages the power of large language models (LLM), which are powering services such as ChatGPT, enabling users to interact with their data in a fully natural language environment, without any additional learning. What sets it apart from other LLM-based services is that it is connected to your business data sources, and uses that live data when answering questions, instead of being pre-trained on a static dataset.
How does Qluent work?
How can I tell if the answers I get are correct?
Can I change or cancel my subscription?
What is Qluent?
Qluent is a smart business analytics assistant, designed to enable non-technical users to access, explore and gain insights from their business data. It leverages the power of large language models (LLM), which are powering services such as ChatGPT, enabling users to interact with their data in a fully natural language environment, without any additional learning. What sets it apart from other LLM-based services is that it is connected to your business data sources, and uses that live data when answering questions, instead of being pre-trained on a static dataset.
How does Qluent work?
How can I tell if the answers I get are correct?
Can I change or cancel my subscription?
What is Qluent?
Qluent is a smart business analytics assistant, designed to enable non-technical users to access, explore and gain insights from their business data. It leverages the power of large language models (LLM), which are powering services such as ChatGPT, enabling users to interact with their data in a fully natural language environment, without any additional learning. What sets it apart from other LLM-based services is that it is connected to your business data sources, and uses that live data when answering questions, instead of being pre-trained on a static dataset.