"Explainable AI" (XAI) is crucial for understanding the decision logic of highly complex AI models such as LLMs. Suppose you have applied for a loan from a bank. In a conversation with the bank representative, you are told that your...
Tech Deep Dive
Generative artificial intelligence: the end of an illusion
The legal disputes regarding copyrights in the training of image or art-generating algorithms have not yet been decided. However, regardless of the outcome of the proceedings, the development will scrutinise the position of artists and...
Fine-Tuning the CLIP Foundation Model for Image Classification
Introduction With ChatGPT, Large Language Models (LLMs) have jumped at the centre stage of public attention. These models are pre-trained on massive amounts of text data from the internet. However, at the very same time, also new foundational computer vision models...
XAI Navigator: Find the method that makes your AI model more interpretable
Introduction As artificial intelligence (AI) continues to advance and play an increasingly significant role in our lives, the need for explainable AI (XAI) has become more important than ever. XAI is a rapidly growing field of research that seeks to create AI systems...
Data Culture - The key role of data culture
In an era where data has become one of the most valuable resources for organisations, a data-driven culture defines the future of success. Organisations today are faced with the challenge of not only collecting data, but also ensuring that...
Deadly Triad in Reinforcement Learning
Introduction In the previous articles, we introduced the basics of reinforcement learning (RL) and explored its various applications in business. To delve deeper into the inner workings of reinforcement learning algorithms, we...
Reinforcement Learning - Algorithms in the Brain
Introduction Usually our blog articles are focused on business use cases and the analysis of business data. But in this article we want to take a different approach. We discuss how methods we use to solve business problems can help us...
Reinforcement Learning from Human Feedback (RLHF) in the field of large language models
Recent machine learning models, such as those used in ChatGPT, have caused a sensation due to their amazing results. In general, large language models (LLMs) have an increasingly strong influence on the...
MLOps Platform - Building, Scaling and Operationalising
In the previous post, we saw how important it is to get involved with MLOps early on. MLOps platforms help to reduce manual steps, increase team collaboration, meet regulatory and compliance requirements, and...
Reinforcement Learning Use Cases for Business Applications
Introduction Artificial intelligence (AI) is revolutionising many facets of our daily lives and is a key driver of current developments in business and industry. Today, AI-powered algorithms solve tedious problems and use cases on...
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