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🚀 Prompt University is now live! Dive in and explore the future of Generative AI learning Learn more
🚀 Prompt University is now live! Dive in and explore the future of Generative AI learning Learn more
Business Review
Intelligent Tagging & Intelligent Agent
At Effixis, we support companies to leverage AI Language Models. We have developed our proprietary technologies Intelligent Tagging, and Intelligent Agent, NLP/LLM platforms enabling to swiftly and robust train and deploy custom NLP/LLM models to tackle your most advanced challenges.
Dashboards, as we know them, have been a staple of data visualization and analysis for years. They allow organizations to access important data, make decisions based on that data, and track progress over time. However, with the advent of Large Language models (LLM), it’s possible that dashboards, as we know them, will soon become a thing of the past.
Imagine if you could build a ChatGPT-like platform, while respecting all your internal compliance rules, to interact and conversationally inspect external data, as well as your company data – asking for a KPI, a plot, or qualitative analysis without any programming! Is that too good to be true?
By applying chains of Large Language Models (LLMs) on external data, together with your internal data, we build prompt interfaces that:
A combination of a reduced number of dashboards, together with a prompt interface can be setup for, bringing you loads of benefits
Our platform and proprietary technologies, Intelligent Tagging and Intelligent Agent enable a reliable and cost-efficient integration of LLMs
Another advantage of this approach is empowering data analysis on top of data retrieval. Indeed, it is now possible for individuals with no programming knowledge to perform exploratory data analysis and statistical modelling. For example, instead of writing code to perform a regression analysis, a user can ask the language model: “Can you perform a linear regression on my data and show me the results?” The language model then generates the appropriate code and formats the output for the user, giving them more time to study the results and extract insights. For people with some programming skills, such an approach would remain interpretable and useful as they could access and inspect the code and further modify it if need be.
Intelligent Tagging & Intelligent Agent
A question you may have is regarding data privacy – When working with publicly available data, there is no problem. However, when working with sensitive internal data, should I be sharing my data with LLMs, such as those provided by OpenAI? This is an important question to consider if you work in a data-sensitive field. There are two ways to address this problem.
We develop either solution – or any alternative – to suit your specific needs!
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