Two UC Berkeley doctoral students have created an influential AI evaluation platform that has become the industry’s go-to resource for comparing chatbot performance. According to Miles Kruppa’s report in The Wall Street Journal, Anastasios Angelopoulos and Wei-Lin Chiang developed Chatbot Arena as a graduate project in April 2023, which now ranks over 170 AI models … Read more
Few-Shot Learning refers to a method in artificial intelligence where an AI model can learn new tasks from just a few examples. Unlike traditional machine learning, which often requires thousands of training samples, Few-Shot Learning can work with just a handful of examples – sometimes as few as two or three. It can be compared … Read more
I am fascinated and excited by generative AI tools like ChatGPT and others. But it leaves me speechless at times when I see how they are used. Recently, I tried AI plugins for WordPress. (German article, automatically translated with Google Translate. If you want to know more about this topic: I am currently working on … Read more
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 … Read more
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 … Read more
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 … Read more
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 … Read more
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 … Read more
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 … Read more
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 … Read more