Self-learning? 

Robert notes that no model is self-learning without data scientists. “You need experts to classify data to train the model. This never happens in real-time. Data entered by users is first stored in a database and only (much) later used to create a new version. And you should see it this way: a model itself is not really intelligent like a human but works based on predictability.”

GreenPT does not store interactions with users to train the model. Robert: “A chat history is saved for the user themselves, but it is not reused.”

What makes GreenPT further sustainable 

“The exact CO₂ emissions of GreenPT depend on the task complexity,” says Robert. “Because GreenPT manages everything in-house, it will soon be possible to calculate exactly how much energy the models consume. In the future, users will also gain insight into their own emissions via an energy-tracker. This will allow you to see how much was emitted per prompt. This helps raise awareness.”

Work is also underway on a tool to help users optimize prompts in advance. “People are not naturally good at prompting. Inexperienced users often need many steps to arrive at a correct answer using AI. By helping the user optimize their question, we can reduce the number of steps needed to achieve a usable result. We are working hard on that optimization tool.”

Furthermore, Robert points out that an AI model is not always the best form for every question. “Some factual information is better found through a regular internet search engine. That’s why GreenPT also offers the simple option ‘Search the web.’ For questions like ‘Where is Poppodium 013’ or ‘What is the DEN academy,’ you are better off using a search engine than an AI model. It also provides more up-to-date results and consumes less energy.”