'Get a taste of AI' #2: Generative AI in practice - How to create business value from day 1
24 October 2023
When you understand AI’s full potential you can use it purposefully. But how do you translate the versatile possibilities of AI into the specific context of your everyday business operations?
In this article, we'll take a closer look at the application of generative AI and explore how to use these insights in a practical way to generate immediate business value.
Understanding the underlying technology is essential in order to fully exploit the potential of generative AI. Generative AI is powered by a powerful tool: the Large Language Model (LLM).
"If you want to use AI to tackle complex business problems and create real customer value, it is crucial to understand how LLM functions and how to use it effectively."
Justin van Grootveld, Lead Developer
How exactly does an LLM work?
An LLM predicts language based on trained examples and the given context. Take, for example, the flower Viola Tropio: it does not exist at all, but as a human being you can still say something about it.
The flower is probably colourful with a delicate petal, something like a violet, with bright colours and a green stem. It needs sunlight and will not be able to withstand fire. Without ever having seen the flower, you can still predict its properties. That's called inference. This is also how an LLM works: it can make new information, conclusions or predictions based on existing knowledge or data.
Inference is an important aspect of intelligence, as is reasoning, problem solving, language comprehension, and memory, all of which, for example, ChatGPT can do. But awareness, intuition, emotions, and real creativity are lacking, making an LLM still a great distance from human intelligence.
Want to know more about Large Language Models?
In this whitepaper, we look at the past, present, and future of AI language models. You can also learn tips and tricks to help you to get started with AI.
What can you do with an LLM?
LLM is very good at understanding language. You can use them to do the following:
Make a summary or get the gist of a story
Instruct an LLM to ask questions about a topic
Answer questions about a given or existing topic
List ideas, perspectives, and possibilities for inspiration
Convert a text to understandable language, such as language level B1
Translate a text or get answers in another language
Process programming languages, identify errors and suggest corrections.
These are interesting new elements that you can add to your business operations, provided it delivers more accurate results.
How can you use a LLM to solve your business problems?
What can you do with a building block that can work with human language and large amounts of data? Broadly speaking, an LLM does two things particularly well: interpreting language and transforming data.
"LLM does two things particularly well: interpreting language and transforming data."
1. From language comprehension to added value
An LLM understands human input. You can look at as LLM as something like a virtual person: if you can explain to someone what you are looking for or how something should be done, then you can probably automate it with an LLM.
How correct should the answer be?
LLMs can unlock large amounts of data and make it available in human language. It is important to be open about the probability of the LLM providing the correct answer. As Matt Ginsberg of X and The Moonshot Factory, explains in Neil deGrasse Tyson's podcast Startalk: LLMs are very good at the 49/51% principle, not the 100% principle. This means that LLMs give an above-average correct answer, but not always. In that case, adding a human link is wise to select the correct answer that you can use to train the LLM again to give better and better answers.
An application of this works as follows: an LLM interprets the customer question based on the chat interaction or the telephone conversation. Next, the LLM provides a help desk employee with various answers and passages. The employee wastes no time searching in systems and can help the customer faster.
Focus on added value
Although generative AI has been in the works for less than a year, it is on almost every top manager’s radar. What Netscape was to the Internet, ChatGPT is to AI. It provides a user-friendly interface for a new technology making it accessible to millions and therefore widely adopted.
For businesses and organisations, adopting AI is essential if you want to continue to be relevant in the future. This has to be in a responsible way that takes all restrictions and risks into account. AI is not a gimmick but a valuable technology that you can use to improve and optimise your business operations in a very targeted way. The first step towards using AI effectively is knowing exactly what you can do with it. Therefore, keep up with of all the latest developments around generative AI. Our AI dossier is a great place to start.
Justin van GrootveldLead Developer
With over 10 years of experience in software development, Justin has grown to become Lead Developer at iO. He helps organisations in a range of industries prepare for the future through thoughtful technology choices. Justin is also an avid AI evangelist. He supports clients and colleagues within iO with consulting, development, conceptualisation, workshops, and more.
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