Models

It’s hard to evaluate how sycophantic AI models are because sycophancy is available in many forms. Previous research has tended to give attention to how chatbots agree with users even when what the...

The rise of cybercrime has made fraudulent webpage detection a necessary task in ensuring that the web is protected. It is clear that these risks, equivalent to the theft of personal information, malware, and...

to tune hyperparamters of deep learning models (Keras Sequential model), compared with a conventional approach — Grid Search. Bayesian Optimization Bayesian Optimization is a sequential design strategy for global optimization of black-box functions. It is especially well-suited for...

Deep Chic released the technique of developing a 'V3' model at a much lower cost than its competitors in December last yr. Liangwon Feng Dip Chic founder also participated within the paper, but most...

A couple of decade ago, artificial intelligence was split between image recognition and language understanding. Vision models could spot objects but couldn’t describe them, and language models generate text but couldn’t “see.” Today, that...

I’ve science consultant for the past three years, and I’ve had the chance to work on multiple projects across various industries. Yet, I noticed one common denominator amongst a lot of the clients...

In April 2025, OpenAI introduced its most advanced models up to now, o3 and o4-mini. These models represent a significant step forward in the sphere of Artificial Intelligence (AI), offering recent capabilities in visual...

Within the , constructing Machine Learning models was a skill only data scientists with knowledge of Python could master. Nevertheless, low-code AI platforms have made things much easier now. Anyone can now directly make a...