Introduction I hope you all were able to make it to the Data and AI Summit this year. For those of you who missed out,
Today, C‑Gen.AI came out of stealth mode to introduce an infrastructure platform engineered that the company said addresses a problem undermining AI’s potential: the inefficiency
“Data is the fossil fuel of AI.” – Ilya Sutskever, co-founder and former chief scientist at OpenAI “The best prophet of the future is the
we, data scientists, cite the most — but also the most misleading. It was long ago that we found out that models are developed for
By: Petr Koráb*, Martin Feldkircher**, *** Viktoriya Teliha** (*Text Mining Stories, Prague, **Vienna School of International Studies, ***Centre for Applied Macroeconomic Analysis, Australia). of terms
I had wide-eyed ambitions to be an Artificial Intelligence developer. I studied all the latest material. By that I mean sci-fi movies — Terminator, War Games, RoboCop,
under uncertainty. Not just once, but in a sequence over time. We rely on our past experiences and expectations of the future to make the
make smart choices when it starts out knowing nothing and can only learn through trial and error? This is exactly what one of the simplest
There is a lot of hype today about LLMs. Engineers often compare and praise recent revolutionary models like ChatGPT, Llama, Gemini, and Mistral, which indeed
Imagine this situation: We have two Reports: One showing data for Online sales over time, and compared to the previous year One showing data for