Monthly Archives: March 2024

I just read the article here, giving the following statement : The self-attention mechanism allows Transformer models to consider the entire context of a sequence, rather than just the current state. This is a significant advantage over Markov Models, which … Continue reading →

Foundation model is the new winged concept, but it is not really new. In its foundation it is about learning the identity of presented objects e.g. images of different cats. For using it in other applications as it was initially … Continue reading →

Distributed systems are everywhere. Core element is the scheduling of elements on limited resources, from access t0 CPU cores up to a fleet of vehicles becomes balanced in its access to charging stations. In its roots a queue is a … Continue reading →