Archive: 2026/01 - Page 2

Building Without PHI: How Healthcare Vibe Coding Enables Safe, Fast Prototypes

Vibe coding lets healthcare teams build software prototypes without touching real patient data. Learn how AI-generated code, synthetic data, and PHI safeguards are accelerating innovation while keeping compliance intact.

How to Choose Batch Sizes to Minimize Cost per Token in LLM Serving

Learn how to choose batch sizes for LLM serving to cut cost per token by up to 80%. Real-world numbers, hardware tips, and proven strategies from companies like Scribd and First American.

How Prompt Templates Cut Costs and Waste in Large Language Model Usage

Prompt templates cut LLM waste by reducing token usage, energy consumption, and costs. Learn how structured prompts save money, improve efficiency, and help meet new AI regulations-all without changing your model.

Supervised Fine-Tuning for Large Language Models: A Practical Guide for Teams

Supervised fine-tuning turns general LLMs into reliable, domain-specific assistants. Learn the practical steps, common pitfalls, and real-world results from teams that got it right - and those that didn’t.

Multimodal Vibe Coding: Turn Sketches Into Working Code with AI

Multimodal vibe coding lets you turn sketches and voice commands into working code using AI. Learn how it works, which tools to use in 2026, and why it's revolutionizing prototyping - but not replacing developers.

Guardrails for Medical and Legal LLMs: How to Prevent Harmful AI Outputs in High-Stakes Fields

Guardrails for medical and legal LLMs prevent harmful AI outputs by blocking inaccurate advice, protecting patient data, and stopping unauthorized legal guidance. These systems are now mandatory in regulated industries.

Governance Committees for Generative AI: Roles, RACI, and Cadence

Governance committees for generative AI ensure ethical, compliant, and safe AI use. Learn the essential roles, RACI structure, meeting cadence, and models that work-backed by real-world data from Fortune 500 companies.