A Large Language Model, commonly abbreviated as LLM, is an advanced artificial neural network designed to understand, generate, and process human language. These models are termed “large” because they are trained on vast amounts of textual data and can contain billions of parameters. LLMs are capable of performing a wide range of tasks, including text …
Mixture of Experts (MoE) is a concept in artificial intelligence that can best be understood as a team of specialists. In this approach, a complex task is divided among multiple smaller, specialized models – the so-called “experts” – instead of using a single large model for everything. A central “gatekeeper” or “router” decides which expert …
Chain of Thought is a concept in artificial intelligence that describes the ability of AI systems to solve complex problems step-by-step, much like humans do. This method allows AI models to explain their thought processes in a way that humans can understand. Instead of just providing a final answer, the AI shows the individual steps …
Today’s AI assistants provide answers to questions or perform simple, well-defined tasks. But they do not act independently. In addition, more complex tasks always require a human to act as a supervisor. AI agents, on the other hand, should find a solution on their own and pursue goals autonomously or semi-autonomously. AI agents use basic …
In a previous Smart Content Report, I featured a funny illustrated guide generated by ChatGPT’s Dall-E: I find such “failures” interesting to see, because they can reveal fundamental problems. For example, we are still a long way from an AI that actually understands the world around it (“General World Model”). At the moment, these tools …
A general world model is an ambitious concept in artificial intelligence. The goal is to create an AI system that can understand and simulate the world as comprehensively as a human. Imagine a virtual assistant that can not only generate text or images, but also understand, predict, and respond to complex real-world situations. For example, …
In his article for VentureBeat, Samir Kumar, co-founder of Touring Capital, analyzes the current AI hype cycle. He cautions against jumping to conclusions and reminds us of previous technology waves, such as the smartphone revolution. Kumar emphasizes that the first innovators are often not the long-term winners. He advises founders and investors to pay particular …
The article “Turning the Tables on AI” proposes an innovative approach to artificial intelligence. Instead of using AI as a substitute for your own thinking, the author argues for using it as a tool to promote critical thinking. He provides practical tips on how to use ChatGPT as an idea generator, question poser, and editor …
There are many services that claim to be able to recognize AI text with “99% accuracy” – without providing any proof. At the same time, there are services that claim to adapt AI texts in such a way that no detector can recognize them. Both cannot be true at the same time. Granted: I can …
Imagine you have a universal toolbox that contains many different tools, but is too large and cumbersome for certain tasks. To perform certain tasks efficiently, you can use small, specialized attachments called adapters. These adapters attach to the general-purpose tool and extend its function. For example, you can attach a screwdriver adapter to a drill …