Skip to content Your Next ‘Large’ Language Model Might Not Be Large After All
Since the conception of AI, researchers have always held faith in scale — that general intelligence was an emergent property ...
Read more Javascript Fatigue: HTMX is all you need to build ChatGPT — Part 1
was a time, long ago, when building websites was easy. HTML and CSS. It felt simple. Nowadays, Javascript frameworks are ...
Read more The Power of Framework Dimensions: What Data Scientists Should Know
A previous article provided a of conceptual frameworks – analytical structures for representing abstract concepts and organizing data. Data scientists ...
Read more Building a Geospatial Lakehouse with Open Source and Databricks
Most data that relates to a measurable process in the real world has a geospatial aspect to it. Organisations that ...
Read more How to Control a Robot with Python
PyBullet is an open-source simulation platform created by Facebook that’s designed for training physical agents (such as robots) in a ...
Read more Why Should We Bother with Quantum Computing in ML?
When black cats prowl and pumpkins gleam, may luck be yours on Halloween. (Unknown) , conferences, workshops, articles, and books ...
Read more Scaling Recommender Transformers to a Billion Parameters
! My name is Kirill Khrylchenko, and I lead the RecSys R&D team at Yandex. One of our goals is ...
Read more How to Build An AI Agent with Function Calling and GPT-5
and Large Language Models (LLMs) Large language models (LLMs) are advanced AI systems built on deep neural network such as transformers ...
Read more Conceptual Frameworks for Data Science Projects
are analytical structures for representing abstract concepts and organizing data. Data scientists regularly use such frameworks — knowingly or unknowingly ...
Read more Learning Triton One Kernel at a Time: Matrix Multiplication
multiplication is undoubtedly the most common operation performed by GPUs. It is the fundamental building block of linear algebra and ...
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