Leap Nonprofit AI Hub - Page 2

LLMOps for Generative AI: Building Reliable Pipelines, Observability, and Drift Management

LLMOps is the essential framework for keeping generative AI models accurate, safe, and cost-effective in production. Learn how to build reliable pipelines, monitor performance, and manage drift before it costs you users or compliance.

Performance Budgets for Frontend Development: Set, Measure, Enforce

Performance budgets set hard limits on website speed metrics like load time and file size to prevent slow frontends. Learn how to set, measure, and enforce them using Lighthouse CI, Webpack, and Core Web Vitals.

Playbooks for Rolling Back Problematic AI-Generated Deployments

Rollback playbooks for AI deployments are now essential for preventing costly failures. Learn how leading companies use canary releases, feature flags, and automated triggers to safely revert problematic AI systems in minutes-not hours.

Operating Model for LLM Adoption: Teams, Roles, and Responsibilities

An effective LLM operating model defines clear teams, roles, and responsibilities to safely deploy generative AI. Without it, even powerful models fail due to poor governance, unclear ownership, and unmanaged risks.

How Diverse Teams Reduce Bias in Generative AI Development

Diverse teams in generative AI development reduce bias by catching blind spots homogeneous teams miss. Real inclusion leads to fairer, more accurate AI that works for everyone-not just a few.

How to Negotiate Enterprise Contracts with Large Language Model Providers for Contract Management

Negotiating enterprise contracts with large language model providers requires clear accuracy thresholds, data control clauses, and exit strategies. Learn how to avoid hidden costs, legal risks, and vendor lock-in when using AI for contract management.

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.