Deep Dives

Most data that pertains to a measurable process in the true world has a geospatial aspect to it. Organisations that manage assets over a large geographical area, or have a business process which requires...

When black cats prowl and pumpkins gleam, may luck be yours on Halloween. (Unknown) , conferences, workshops, articles, and books on quantum computing have multiplied, opening recent ways to process information and to reconsider the...

! My name is Kirill Khrylchenko, and I lead the RecSys R&D team at Yandex. One in all our goals is to develop transformer technologies inside the context of recommender systems, an objective we’ve...

and Large Language Models (LLMs) Large language models (LLMs) are advanced AI systems built on deep neural network akin to transformers and trained on vast amounts of text to generate human-like language. LLMs like ChatGPT,...

are analytical structures for representing abstract concepts and organizing data. Data scientists usually use such frameworks — knowingly or unknowingly — to derive project plans, select machine learning models that balance various trade-offs,...

multiplication is undoubtedly probably the most common operation performed by GPUs. It's the elemental constructing block of linear algebra and shows up across a large spectrum of various fields equivalent to graphics, physics...

has received serious attention with the rise of LLMs able to handling complex tasks. Initially, most discussions on this talk revolved around : Tuning a single prompt for optimized performance on a single...

games growing up was definitely Minecraft. To this present day, I still remember meeting up with a few friends after school and determining what recent, odd red-stone contraption we might construct next. That’s...