Model

is trained on vast datasets and may perform a big selection of tasks. Many foundation models today are based on some variant of the transformer architecture pioneered by the likes of Google and...

yourself how real machine learning products actually run in major tech corporations or departments? If yes, this text is for you 🙂 Before discussing scalability, please don’t hesitate to read my first article on...

Good morning, { AI enthusiasts }. OpenAI needed a win after a rough stretch of public sentiment — and GPT-5.4 looks like a giant one. The corporate's latest top model outperforms humans on desktop...

about interpretability in AI start with the fallacious query. Researchers, practitioners, and even regulators often ask whether a model . But this framing assumes interpretability is a property a model either possesses or...

going through a deep transformation driven by technological progress. These changes affect all sectors, especially the banking industry. Data professionals must quickly adapt to grow to be more efficient, productive, and competitive. For knowledgeable...

Good morning, { AI enthusiasts }. Anthropic spent the last two weeks shipping its best-ever models. The twist is that the cheaper one might matter more.The brand new Sonnet 4.6 goes toe-to-toe with Opus...

for marketing campaigns is amazingly hard. Much of it comes right down to trial and error, despite the fact that we all know that more targeted strategies would work higher. We just don’t...

In Part 1 of this series, how Azure and AWS take fundamentally different approaches to machine learning project management and data storage. Azure ML uses a workspace-centric structure with user-level role-based access control (RBAC),...