It's been a couple of days because DeepSeek, a Chinese expert system (AI) company, rocked the world and worldwide markets, sending out American tech titans into a tizzy with its claim that it has actually developed its chatbot at a tiny fraction of the cost and energy-draining data centres that are so popular in the US. Where business are putting billions into going beyond to the next wave of expert system.

DeepSeek is all over right now on social networks and is a burning topic of conversation in every worldwide.

So, what do we understand now?

DeepSeek was a side project of a Chinese quant hedge fund company called High-Flyer. Its cost is not just 100 times less expensive but 200 times! It is open-sourced in the true meaning of the term. Many American business try to solve this problem horizontally by constructing bigger information centres. The Chinese companies are innovating vertically, using new mathematical and engineering methods.

DeepSeek has now gone viral and is topping the App Store charts, having actually beaten out the formerly undeniable king-ChatGPT.

So how precisely did DeepSeek handle to do this?

Aside from less expensive training, not doing RLHF (Reinforcement Learning From Human Feedback, an artificial intelligence technique that utilizes human feedback to enhance), quantisation, and caching, where is the reduction originating from?

Is this due to the fact that DeepSeek-R1, a general-purpose AI system, isn't quantised? Is it subsidised? Or [users.atw.hu](http://users.atw.hu/samp-info-forum/index.php?PHPSESSID=00c450e8529961a03059e3e7558bf928&action=profile