Category: AI Strategy & Governance - Page 2

Content Moderation Pipelines for User-Generated Inputs to LLMs: How to Block Harmful Content Without Breaking Trust

Learn how modern AI systems filter harmful user inputs before they reach LLMs using layered pipelines, policy-as-prompt techniques, and hybrid NLP+LLM strategies that balance safety, cost, and fairness.

Rapid Mobile App Prototyping with Vibe Coding and Cross-Platform Frameworks

Vibe coding lets you create mobile app prototypes in hours using AI prompts instead of writing code. Learn how to use it with React Native and Flutter, why 92% of prototypes need rewriting, and how to avoid costly mistakes.

Template Repos with Pre-Approved Dependencies for Vibe Coding: Governance Best Practices

Vibe coding templates with pre-approved dependencies are governance tools that standardize AI-assisted development. They reduce risk, enforce best practices, and cut development time by locking in trusted tools and context rules.

Enterprise Integration of Vibe Coding: Embedding AI into Existing Toolchains

Enterprise vibe coding embeds AI directly into development toolchains, cutting internal tool build times by up to 73% while enforcing security and compliance. Learn how it works, where it succeeds, and how to avoid common pitfalls.

Export Controls and AI Model Use: Compliance Guide for Global Teams

Global teams using AI models must navigate complex export controls that can block shipments, trigger fines, or shut down markets. This guide breaks down the 2025 U.S. and EU rules, how to avoid hidden traps like deemed exports, and how automation and training turn compliance into a competitive advantage.

Inclusive Prompt Design for Diverse Users of Large Language Models

Inclusive prompt design makes AI work for everyone-not just fluent English speakers or tech-savvy users. Learn how adapting prompts for culture, ability, and language boosts accuracy, reduces frustration, and unlocks access for millions.

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.