Coding in the age of AI
Artificial Intelligence (AI) has been making subtle yet significant inroads into the daily workflows of tech professionals.
Category: AI
What is quantization of LLMs?
Quantization, a compression technique, has long been utilized in various fields to map high precision values to lower precision ones, thus making data…
What is AI model collapse?
AI model collapse is a phenomenon in artificial intelligence (AI) where trained models, especially those relying on synthetic data or AI-generated data,…
‘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…
FraudGPT and other malicious AIs are the new frontier of online threats. What can we do?
The internet, a vast and indispensable resource for modern society, has a darker side where malicious activities thrive.
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…
Training AI requires more data than we have — generating synthetic data could help solve this challenge
The rapid rise of generative artificial intelligence like OpenAI’s GPT-4 has brought remarkable advancements, but it also presents significant risks.