Transformers are a groundbreaking architecture for artificial neural networks, developed by Google in 2017, and now form the foundation for modern AI language models such as ChatGPT, Claude, or Google’s own Gemini. The name “Transformer” refers to these systems’ ability to transform input data (for example, texts) into another form. What makes Transformers special is …
Currently, there are two main trends in the AI market: AI as a product and AI as a feature. AI as a product mainly comes from startups like OpenAI, Anthropic, Ideogram, or Runway. You create an account and usually pay a monthly subscription fee to use these tools. Often, there is a free trial access …
An LLM Router (Large Language Model Router) is a system that automatically directs incoming queries to the most appropriate language model. Similar to a traffic control system, the router determines which of the available AI models can solve a specific task most efficiently. This selection is based on various criteria such as the type of …
Geoffrey Hinton, Jensen Huang, and Fei-Fei Li were instrumental in launching the deep learning revolution, despite facing skepticism from colleagues, Timothy B. Lee writes. Hinton spent decades promoting neural networks and developed the backpropagation algorithm for training them efficiently, as detailed in Cade Metz’s book “Genius Makers.” Huang, CEO of Nvidia, recognized the potential of …
Generative AI is blurring the distinction between content and data, argues Robert Rose in an article for the Content Marketing Institute. As AI gains prevalence, companies will need people in new roles to guide how AI-generated insights are transformed into meaningful value rather than settling for “good enough” AI-produced content. Rose asserts that while AI …
Many recently announced “AI agents” are actually sophisticated automation systems, according to Brian Evergreen and Pascal Bornet writing for VentureBeat. True AI agents can research, reason, decide and act to achieve a goal with full autonomy, while automation simply follows predefined recipes when conditions are met. Identifying genuine agency requires looking at a system’s behavior …
I often see discussions about the purpose and benefits of AI tools revolve around whether or not they can completely do your job. The answer is often clear: no, they can’t. If you want, you can always find a way to make AI look stupid. In a way, this is even helpful: you should always …
Artificial Intelligence can be better understood through some basic principles of how it thinks and works. Large Language Models (LLM) essentially function like sophisticated text prediction systems that forecast the next word in a sentence based on vast amounts of data, explains Ethan Mollick in his 100th Substack post. These AI systems operate with limited …
Schools and universities are increasingly relying on AI detectors to check student work for AI use. According to one survey, about two-thirds of teachers use such tools regularly. As Jackie Davalos and Leon Yin report in Bloomberg Businessweek, at that scale, even low error rates can lead to a large number of false positives. The …
When discussing artificial intelligence, we must not lose sight of the term “artificial”. In my opinion, there is too much discussion about whether an AI like ChatGPT is “really intelligent”. But that’s not the point. To explain it with a comparison: Is an artificial rose the same as a real, natural rose? No, not at …