What is In-Context Learning of LLMs?
In-context learning (ICL) refers to a remarkable capability of large language models (LLMs) that allows these models to perform new tasks without any…
Author: Martin Treiber and Artifical Intelligence
Do Emergent Abilities in AI Models Boil Down to In-Context Learning?
Emergent abilities in large language models (LLMs) represent a fascinating area of artificial intelligence, where models display unexpected and novel…
An introduction to how Large Language Models work
Large Language Models (LLMs) have revolutionized the field of Natural Language Processing (NLP) by offering unprecedented capabilities in generating…
Coding in the age of AI
Artificial Intelligence (AI) has been making subtle yet significant inroads into the daily workflows of tech professionals.
‘Intersectional hallucinations’: why AI struggles to understand that a six-year-old can’t be a doctor or claim a pension
When you go to the hospital and get a blood test, the results are put in a dataset and compared with other patients’ results and population data.
The EU AI Act: Your Essential Guide to New Regulations
The EU AI Act is finally here! Published in the Official Journal of the EU on July 12, this groundbreaking regulation comes into force today, August 1,…
The Trend Towards Smaller Language Models in AI
The landscape of artificial intelligence (AI) is undergoing a notable transformation, shifting from the pursuit of ever-larger language models (LLMs) to…
Understanding Tokens in AI
In the realm of Artificial Intelligence (AI), particularly in the context of Large Language Models (LLMs), tokens are the fundamental units of language…
Embeddings: The Secret Sauce in AI’s Data Cuisine
In the world of artificial intelligence (AI), data is the main ingredient. But just like raw ingredients need preparation before they become a delicious…
What are Jupyter Notebooks?
Welcome to the exciting world of Jupyter Notebooks! Whether you’re a seasoned data scientist or a curious beginner, Jupyter Notebooks offer a versatile,…