Guide

frustrating issues to debug in data science code aren’t syntax errors or logical mistakes. Quite, they arrive from code that does exactly what it's presupposed to do, but takes its sweet time doing...

3. Permissions by design: Bind tools to tasks, to not models A standard anti-pattern is to offer the model a long-lived credential and hope prompts keep it polite. SAIF and NIST argue...

Explainability in AI is important for gaining trust in model predictions and is extremely essential for improving model robustness. Good explainability often acts as a debugging tool, revealing flaws within the model training process....

that linear models will be… well, stiff. Have you ever ever checked out a scatter plot and realized a straight line just isn’t going to chop it? We’ve all been there. Real-world data is...

announced Structured Outputs for its top models in its API, a brand new feature designed to be sure that model-generated outputs exactly match the JSON Schemas provided by developers.  This solves an issue many...

Good morning. It’s Monday, November seventeenth.On today in tech history: In 1995IBM researchers introduced Envelope Searcha brand new technique to speed up large-vocabulary speech recognition. It combined A* search’s ability to look ahead...

used a Composite model feature in Power BI, you would possibly have already heard about one other extremely necessary and powerful concept – Aggregations! It’s because in lots of scenarios, especially with enterprise-scale...

a subject of much interest because it was introduced by Microsoft in early 2024. While a lot of the content online focuses on the technical implementation, from a practitioner’s perspective, it could be...