Author name: Steffen Luypaert

Steffen is one of the founders of Linguineo, a language technology startup. He has been working with language technology since 2016. Combining own niche speech recognition and generative AI models with off-the-shelf solutions. In this blog he shares his views on language technology, as well as his adventures in it. His passions are language, AI, gaming, education and helping create a bright future for everyone. And of course his wife Maryia and his two twin boys Michaël and Daniël.

WizardGPT talking with player

A distinctive approach to chatbots using generative AI

As the founder of Linguineo, a voicebot company focused on language learning and open-ended conversations, I believe in the potential of AI to contribute to the greater good. But the explosion of generative AI chatbots raises pertinent questions about how to manage the darker side of simulating human intelligence. In this blog post, I’ll write about one specific approach to control the risk of chatbots and make conversational AI explainable.

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not so perfect generated image for a human in the loop

The human in the loop, and why it’s a problem

Generative AI is sparking the democratization of AI and a workplace revolution. While AI is becoming ever more sophisticated, you can be certain that AI won’t replace humans. However, a human using AI might replace one who doesn’t. The “human in the loop” using AI as a productivity tool is going to have a huge advantage over those who don’t know how to use AI effectively.

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Is ChatGPT just using next word prediction?

In the previous article we have explained how GPT itself (like GPT3 and GPT3.5) works, not ChatGPT (or GPT4). So, what’s the difference? Base models for generative text AI are always trained on tasks like “next word prediction” (or “masked language modelling”). This is because the data to learn this task is abundant: namely all

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How are words represented in generative text AI?

In the article about artificial neural networks we gave some high level representation of what such a neural network is. The deeper you dig into these neural networks, the more details you encounter, like why it often makes sense to prune nodes, or that there are several kinds of neurons some of which keep different

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What is artificial intelligence, what is machine learning and what is deep learning?

Artificial intelligence is the broader concept of machines being able to perform tasks that would require human intelligence. It’s just a computer program doing something intelligent. A system that uses if-then-else rules in order to make a decision, is also artificial intelligence. If you build a loan expert system consisting of thousands of rules like

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