Deep

We all the time use filters when developing DAX expressions, reminiscent of DAX measures, or when writing DAX queries. But what happens exactly after we apply filters? This piece is strictly about this query. I'll start with...

: Overparameterization, Generalizability, and SAM The dramatic success of recent deep learning — especially within the domains of Computer Vision and Natural Language Processing — is built on “overparameterized” models: models with good enough parameters to memorize the training data...

that reads your metrics, detects anomalies, applies predefined tuning rules, restarts jobs when essential, and logs every decision—without you watching loss curves at 2 a.m. In this text, I’ll provide a light-weight agent designed...

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),...

(AWS) are the world’s two largest cloud computing platforms, providing database, network, and compute resources at global scale. Together, they hold about 50% of the worldwide enterprise cloud infrastructure services market—AWS at 30%...

or fine-tuned an LLM, you’ve likely hit a wall on the very last step: the Cross-Entropy Loss. The offender is the logit bottleneck. To predict the subsequent token, we project a hidden state into...

that frustrating hovering drone from ? The one which learned to descend toward the platform, go through it, after which just… hang around below it eternally? Yeah, me too. I spent a whole afternoon...

technique that may turn LLMs into actual agents. It's because MCP provides tools to your LLM which it will possibly use to retrieve live information or perform actions in your behalf. Like all other...