SCC Comets

Tess Rempel Jan, 20 2026 Artificial Intelligence

Security by Design in Vibe-Coded Architectures: How to Build Secure AI-Generated Code

Vibe coding speeds up development but introduces serious security risks. Learn the top threats in AI-generated code and how to implement real, proven controls to build secure systems without slowing down.

Tess Rempel Jan, 19 2026 Artificial Intelligence

How to Prevent Sensitive Prompt and System Prompt Leakage in LLMs

System prompt leakage is a critical AI security flaw where LLMs reveal their hidden instructions to attackers. Learn how to prevent it using proven techniques like output filtering, instruction defense, and external guardrails to stop data exposure and jailbreaks.

Tess Rempel Jan, 18 2026 Artificial Intelligence

Vibe Coding for Full-Stack Apps: What AI Can Really Do Today

Vibe coding lets you build full-stack apps with AI from simple prompts. Learn what it can do today, where it fails, and how to use it effectively without getting burned by bad code.

Tess Rempel Jan, 16 2026 Artificial Intelligence

How to Calibrate Confidence in Non-English LLM Outputs

LLMs often overstate their confidence in non-English responses, creating dangerous blind spots. Learn why calibration fails across languages and how to protect yourself today.

Tess Rempel Jan, 15 2026 Artificial Intelligence

Flash Attention: How Memory Optimizations Speed Up Large Language Model Inference

Flash Attention slashes memory use and speeds up LLM inference by optimizing how attention computations move data in GPU memory. It enables 32K+ token contexts without accuracy loss, and is now standard in top models like Llama 3 and Claude 3.

Tess Rempel Jan, 14 2026 Artificial Intelligence

Fairness Testing for Generative AI: Metrics, Audits, and Remediation Plans

Fairness testing for generative AI ensures AI systems don't reinforce bias in text, images, and decisions. Learn key metrics, audit methods, and real-world remediation plans used by leading companies in 2026.

Tess Rempel Jan, 13 2026 Artificial Intelligence

How Large Language Models Learn: Self-Supervised Training at Internet Scale

Large language models learn by predicting the next word in trillions of internet text samples using self-supervised training. This method powers GPT-4, Claude 3, and Llama 3, but comes with trade-offs in accuracy, bias, and cost.

Tess Rempel Jan, 11 2026 Artificial Intelligence

Accessibility-Inclusive Vibe Coding: Build WCAG-Compliant Interfaces by Default

Accessibility-inclusive vibe coding combines AI-assisted development with WCAG 2.2 patterns to build accessible interfaces by default. Learn how to reduce fixes, avoid audits, and create truly inclusive digital products.

Tess Rempel Jan, 7 2026 Artificial Intelligence

Style Transfer Prompts in Generative AI: How to Control Tone, Voice, and Format

Learn how to use style transfer prompts in generative AI to control tone, voice, and format for consistent, high-performing content. Get practical methods, tool comparisons, and real-world fixes for common mistakes.

Tess Rempel Dec, 29 2025 Artificial Intelligence

Security Telemetry and Alerting for AI-Generated Applications: What You Need to Know

AI-generated apps need new security tools. Learn how security telemetry tracks AI behavior, detects prompt injection and model poisoning, and reduces response times by 52%. Essential for teams deploying AI in production.

Tess Rempel Dec, 25 2025 Artificial Intelligence

NLP Pipelines vs End-to-End LLMs: When to Use Composed Systems vs Prompt Engineering

NLP pipelines and end-to-end LLMs aren't rivals-they're teammates. Learn when to use each for speed, cost, and accuracy, and how to combine them into hybrid systems that outperform either alone.

Tess Rempel Dec, 22 2025 Artificial Intelligence

Quality Control for Multimodal Generative AI Outputs: Human Review and Checklists

Human review and structured checklists are essential for catching hidden errors in multimodal AI outputs. Learn how top industries like biopharma and manufacturing use verified workflows to ensure accuracy, compliance, and safety.