AI & Maskininlärning
Explainable AI: Showing the Reasons That Matter
Explanations should help a person evaluate a model output and take the right next action.
ZODIAC INSIGHTS / TOPIC
AI & Maskininlärning
Articles, explanations, and practical considerations from the Zodiac Technologies journal.
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AI & Maskininlärning
AI & Maskininlärning
Small Language Models for Focused Tasks
A smaller model may be a better fit when latency, cost, privacy, or a narrow task matters most.
AI & Maskininlärning
Planning AI Model Training Infrastructure
Training infrastructure should match the experiment plan, data governance needs, and expected operating cost.
AI & Maskininlärning
Applying AI to a Real Business Problem
A strong AI project starts with a narrow task, representative examples, and a clear owner.
AI & Maskininlärning
Deep Learning: Where It Helps and Where It Does Not
Deep learning can represent complex patterns, but its data and compute demands must be justified.
AI & Maskininlärning
Machine Learning Begins With a Decision
Start with the decision a model should improve, then work backward to data and evaluation.