This page contains short descriptions and links to (external) tools that may be helpful.
Although prominently featured here, it is important to note that ChatGPT-like services is only a subset of the available Generative AI tools. There are many other more specialized tools, with new tools popping up almost daily/weekly.
Tools that are official to DTU are marked as such.
Other tools may or may not be applicable to particular applications, so please carefully consider the suitability for your planned use. This may relate to the context of use (e.g. education, research, administration), the data you plan to share with the service, and the allowed use of the generated output.
In general, the following should as a minimum be considered when evaluating the suitability for using a specific tool:
- Which license terms do the service come with? Some tools may be available in free versions with restrictions on allowed use; if your use case is not included in the allowed use it could potentially cause a liability or cost that could be charged later. Even if an “academic” version is available, it may in some cases be limited to “educational” use and not within “research”.
- Are you allowed to share data, including text, documents and images with the service? If your data is sensitive or under a data protection agreement (GDPR, “Databeskyttelsesforordningen”), you may not be allowed to share data with the service. If you use copyrighted material, you may also not be allowed to share the material with the service.
- Are your data being used for training or fine-tuning of the service you’re using?
- To where is the data you share sent? There may be restrictions on which countries you’re allowed to send data to.
Prompting#
Many of the ChatGPT-like Generative AI services are based on General Pre-trained Transformer (GPT) Large Language Models (LLM). The main interaction method is prompting, and to get started, you may seek inspiration from the so-called prompt engineering guide and learn about the differences between zero-vs few-shot prompting, chain-of-thought prompting etc.
A couple of DTU Design and Innovation students, Magnus and Lucas Lydik Bessing (supervised by Josef Oehmen and Per Bækgaard) have created a toolbox for designers:
Integrating AI into your design process can significantly enhance creativity and efficiency. AI-powered tools can generate design ideas, automate the creation of elements like layouts and color schemes, and provide highly personalized designs tailored to user preferences. By handling repetitive tasks such as resizing images and formatting, AI allows designers to focus on creativity. Additionally, AI can predict design trends, enhance collaboration through streamlined workflows, and improve user testing by simulating interactions. These capabilities ensure that designers stay ahead of the curve, create resonant designs, and ultimately deliver a more engaging user experience.
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ChatGPT is a service by OpenAI, and in it’s own words:
ChatGPT is an advanced AI language model developed by OpenAI. It’s designed to understand and generate human-like text based on the input it receives. Essentially, it can answer questions, help with tasks like writing, coding, or summarizing information, and engage in conversations on a wide range of topics.
The model works by using a large dataset of text to understand patterns in language, making it capable of mimicking human conversations, offering explanations, and even brainstorming ideas. It’s continuously updated to improve accuracy and comprehension. [1]
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ChatTutor is a DTU-based startup which enable students to get help from an AI-tutor or from teaching assistant (TA). Teachers upload the course material on ChatTutor (slides, notes, exercises) and ChatTutor will then base it’s answers on the course material and refer students to the relevant sections.
Questions ChatTutor cannot answer can be escelated to teaching assistents, and the answers provided by ChatTutor will then be available to the entire class. This allows for a better utilization of our existing TA resources.
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Chat Applications There are a number of applications that can be installed locally on your computer that offer a ChatGPT- or Notebook LM-inspired interface. Some also allow you to create your own local knowledge database using Retrieveal-augmentated Generation (RAG). A RAG typically allows you to “chat with your documents”.
DTU have no explicit licenses to these tool and have not evaluated their risks and potential applicability.
Some tools allow you to run the entire LLM model offline, i.e. on your own computer (provided you have enough memory and enough compute power and memory for practical use). Note, however, that if the application uses an external online LLM model through it’s application programming interface (API), some of your data will leave your computer and be sent to the LLM model for processing.
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DTU gives access for students and employees to a somewhat similar chat tool to ChatGPT, based on a large language model, from Microsoft, which you can find at https://copilot.microsoft.com/ or at https://m365.cloud.microsoft/ when logged into your DTU account. You can also use it from within the Edge browser. Read more at Microsoft. It is sometimes referred to as “Copilot for the web”.
The service also provides access to DALL-E, so you can prompt the service to generate images.
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Notebook LM is Google’s Note-taking and Reseach Assistant tool based on the Gemini 2.0 platform (as of the time of writing, pi-day (March 14th) 2025).
DTU have no licenses to the tool and have not evaluated it’s risk and potential applicability.
Some other services, like ChatGPT, Copilot or Le Chat are general tools that have been trained on vast amounts of data, and therefore embed a lot of general knowledge, although they may additionally be able to search for, and include, more recent information from “the internet” in the replies.
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Scite_ is an AI based citation/reference service that can assist in managing a large body of literature.
It allows for e.g. searching citation statements for facts and insights, asking questions to your reference list, check what others have published in support of a paper (or if any have reported lack of reproducibility), track trends and insights, check references, etc.
The DTU Library have secured a license and it can be used/access via the DTU network. It is not required to create a user to access the tool, but doing so allow additional features to be unlocked.
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Silvi is a Danish-developed screening and data extraction tool based on AI technology, which supports a time-saving, transparent, and documentable process for conducting literature reviews.
By using the tool, you will among other things, gain the benefits of multiple simultaneous users on a project, intuitive screening, transparent data extraction and automatic download of OA PDFs.
Create a DTU account at https://app.silvi.ai/signup and remember to use your DTU email address when signing up.
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Vizcom is an AI-powered design tool tailored for industrial designers, product designers, architects, and creative professionals. It transforms the design process by enabling users to quickly convert 2D sketches into 3D models, generate photorealistic renders, and collaborate seamlessly within teams.
See the full description of Vizcom or examples of use.
DTU have no licenses to the tool and have not evaluated it’s risk and potential applicability.