Mastering LLM Prompting for Unit Tests and Code Refactoring
Learn how to use structured prompt patterns like the Recipe and Context patterns to generate passing unit tests and safe code refactors using LLMs.
Archive: 2026/04 - Page 2
Data Retention Policies for Vibe-Coded SaaS: What to Keep and Purge
Learn how to manage data retention for vibe-coded SaaS apps. Avoid GDPR fines and reduce storage costs by implementing strict data minimization in your AI prompts.
Solving Dataset Bias in Multimodal Generative AI: A Guide to Fair Representation
Explore how dataset bias affects multimodal generative AI, the difference between under and misrepresentation, and the latest CA-GAN techniques to ensure fair AI outputs.
Structured Prompting: How to Constrain LLM Reasoning for Better Accuracy
Learn how to use structured prompting to constrain LLM reasoning, reduce hallucinations, and improve factuality through frameworks like Chain-of-Thought and DisCIPL.
Why Transformers Use Two-Layer Feedforward Networks for LLM Performance
Explore why the two-layer Feedforward Network is essential for LLMs. Learn how this design balances non-linearity, factual memory, and computational efficiency.
Transparency and Explainability in Large Language Model Decisions
Explore how transparency and explainability impact large language model decisions, covering data provenance, bias mitigation, and XAI techniques for trustworthy AI.