Editors Pick

While working at a biotech company, we aim to advance ML & AI Algorithms to enable, for instance, brain lesion segmentation to be executed on the hospital/clinic location where patient data resides, so it's...

On March third, Google officially rolled out its Data Science Agent to most Colab users without spending a dime. This will not be something brand latest — it was first announced in December last...

previous article on organizing for AI (link), we checked out how the interplay between three key dimensions — ownership of outcomes, outsourcing of staff, and the geographical proximity of team members — can...

With the brand new age of problem-solving augmented by Large Language Models (LLMs), only a handful of problems remain which have subpar solutions. Most classification problems (at a PoC level) will be solved by...

While some games, like rock-paper-scissors, only work if all payers choose their actions concurrently, other games, like chess or Monopoly, expect the players to take turns one after one other. In Game Theory, the...

Creating efficient prompts for big language models often starts as a sure bet… but it surely doesn’t at all times stay that way. Initially, following basic best practices seems sufficient: adopt the persona of...

Introduction Many generative AI use cases still revolve around Retrieval Augmented Generation (RAG), yet consistently fall wanting user expectations. Despite the growing body of research on RAG improvements and even adding Agents into the method,...

In Game Theory, the players typically need to make assumptions in regards to the other players’ actions. What is going to the opposite player do? Will he use rock, paper or scissors? You never...