Getting started with ChatGPT and Large Language Models

Large Language Models (LLM) have been extremely popular since ChatGPT entered the scene in 2022. These AI models are extremely powerful, creating a lot of new technological opportunities, for example:

  • Chatbots

    Customer service, internal HR chatbot, customer on-boarding, ... Chatbots have been around for a long time, but thanks to LLMs, they can be made much more intelligent than before. Moreover, building and implementing a chatbot is now much easier and faster.

  • document processing

    By giving an LLM access to your data, you can easily "question your data." And that offers many advantages: search and process large documents or databases with ease, quickly find the most relevant maintenance tickets, speed up your research in complex legal, R&D or medical records. 

  • Content Monitoring

    Automatically search and analyze reports, press articles or social media for content relevant to you.

  • Content Generation

    Create new marketing campaigns with a click, based on your past best-performing campaigns. Find inspiration and speed up your process with both new textual and visual designs.

💡 So what are Large Language Models?

A Large Language Model is a form of artificial intelligence (AI) designed to understand and generate human language. The operation of an LLM relies on neural networks to learn from large amounts of textual data.

Common questions for professional use:

  • What will happen to my data?

    Met de juiste set-up kunnen je data en gesprekken volledig privé blijven. Dat wil ook zeggen dat jouw data bv. niet gebruikt wordt om een model van een derde partij bij te trainen.

  • Can I retrain such an LLM tool or use my own data?

    Yes! So you can have a language model efficiently search your own database or documents, or e.g. train a model on past conversations of your customer team. Large language models are also suitable for working with very large data volumes.  It is possible to work with documents of 1000's of pages, or search large databases.

  • Doesn't an LLM tool like ChatGPT invent false answers? Doesn't the model "hallucinate"?

    This is strongly related to the "temperature," or creativity of your model. For some use cases creativity is desirable, but for many professional use cases you prefer to minimize or eliminate it entirely. When the tool is used by an expert who critically monitors the output, creativity is certainly permissible. As with many AI applications, the quality of the answers depends heavily on the quality of the data: if there are contradictory assertions in your documentation, it also becomes confusing for ChatGPT.

  • Aren't LLM tools for professional use very expensive?

    It depends on the model and setup you use. For most chatbot applications using GPT3.5, you should expect to pay €0.01 to €0.2 per conversation with multiple messages back and forth. GPT4 is more performant for many applications, but is about ten times more expensive. All usage costs are based on how intensively you use the application. So there is no fixed license fee attached.

Are you curious if Large Language Models can add value to your organization?

Find out during a demo session:

  • Introductory workshop

    Workshop on LLMs and the potential for your organization

  • Prototype

    We create an initial prototype in 2 weeks based on your data

  • Feedback

    Workshop to review result and further steps

  • Price


Have additional questions or need more info?

Alexander Frimout

AI Expert Alexander is happy to help! Get in touch by filling out the form below. 📝