Leap Nonprofit AI Hub - Page 5

Vibe Coding Adoption Roadmap: From Pilot Projects to Broad Rollout

Vibe coding lets anyone build apps using natural language prompts. Learn how to start with pilot projects, scale safely, avoid common pitfalls, and prepare for broad rollout in 2025 and beyond.

Incident Management for Large Language Model Failures and Misuse: A Practical Guide for Enterprises

LLM failures aren't like software crashes-they're subtle, dangerous, and invisible to traditional monitoring. Learn how enterprises are building incident management systems that catch hallucinations, misuse, and prompt injections before they hurt users or the business.

Designing Multimodal Generative AI Applications: Input Strategies and Output Formats

Multimodal generative AI lets you use text, images, audio, and video together to create smarter interactions. Learn how to design inputs, choose outputs, and avoid common pitfalls with today's top models like GPT-4o and Gemini.

Finance and Generative AI: How Boards Are Managing Narratives and Materials in 2025

Generative AI is transforming how financial institutions make decisions - but only boards with clear narratives and updated materials can govern it effectively. Here’s what’s working, what’s failing, and what directors must know in 2025.

A11y Testing Tools for Vibe-Coded Frontends: AXE, Lighthouse, and Playwright

Learn how axe-core, Lighthouse, and Playwright help developers catch accessibility issues in modern, visually-focused frontends. These tools catch 30-40% of problems automatically-enough to prevent major regressions and build more inclusive apps.

Open Source in the Vibe Coding Era: How Community Models Are Shaping AI-Powered Development

Open source AI models are reshaping how developers code in 2025, offering customization, control, and community-driven innovation that closed-source tools can't match-even if they're faster. Discover the models, patterns, and real-world use cases driving the vibe coding era.

Prompt Management in IDEs: Best Ways to Feed Context to AI Agents

Learn how to manage context in AI-powered IDEs to get better code suggestions. Discover best practices for feeding precise, structured context to GitHub Copilot, JetBrains AI Assistant, and other tools.

How to Build Compute Budgets and Roadmaps for Scaling Large Language Model Programs

Learn how to build realistic compute budgets and roadmaps for scaling large language models without overspending. Discover cost-saving strategies, hardware choices, and why smaller models often outperform giants.

Sparse Mixture-of-Experts in Generative AI: How It Scales Without Breaking the Bank

Sparse Mixture-of-Experts lets AI models scale efficiently by activating only a few specialized subnetworks per input. Discover how Mixtral 8x7B matches 70B model performance at 13B cost, and why this is the future of generative AI.

Security Basics for Non-Technical Builders Using Vibe Coding Platforms

Non-technical builders using AI coding tools like Replit or GitHub Copilot must avoid hardcoded secrets, use HTTPS, sanitize inputs, and manage environment variables. These five simple rules prevent 90% of security breaches in vibe-coded apps.

Compression for Edge Deployment: Running LLMs on Limited Hardware

Learn how to run large language models on smartphones and IoT devices using model compression techniques like quantization, pruning, and knowledge distillation. Real-world results, hardware tips, and step-by-step deployment.

Third-Country Data Transfers for Generative AI: GDPR and Cross-Border Compliance in 2025

GDPR restricts personal data transfers to third countries unless strict safeguards are in place. With generative AI processing data globally, businesses face real compliance risks - and heavy fines. Learn what you must do in 2025 to stay legal.