SCC Comets

Balanced Training Data Curation for LLM Fairness: A Practical Guide

Balanced Training Data Curation for LLM Fairness: A Practical Guide

Learn how balanced training data curation reduces LLM bias using ClusterClip sampling and active learning. Discover performance gains, costs, and regulatory requirements for fair AI models.
How to Keep LLMs Safe During Fine-Tuning: A Practical Guide

How to Keep LLMs Safe During Fine-Tuning: A Practical Guide

Discover how to prevent safety degradation during LLM fine-tuning using techniques like SafeGrad, layer freezing, and continuous monitoring to maintain alignment.
Unit Test First Prompting: A Guide to Generating Tests Before Code with AI

Unit Test First Prompting: A Guide to Generating Tests Before Code with AI

Learn Unit Test First Prompting: a secure AI development method where you generate tests before code. Master the Red-Green-Refactor cycle, integrate CWE security mitigations, and use GitHub Copilot effectively.
Vibe Coding and Kids: Navigating COPPA and Modern Age Gates in 2026
Tess Rempel

Vibe Coding and Kids: Navigating COPPA and Modern Age Gates in 2026

Learn how COPPA and the FTC's 2026 age verification rules impact vibe coding and app development. Understand the shift from simple age gates to robust verification.
LLM Data Residency Guide: Managing Regional Compliance in AI Deployments

LLM Data Residency Guide: Managing Regional Compliance in AI Deployments

A comprehensive guide to managing data residency and regional controls for LLM deployments, covering EU AI Act, PIPL, and architectural strategies for 2026.
Infrastructure as Code for Vibe-Coded Deployments: Ensuring Repeatability

Infrastructure as Code for Vibe-Coded Deployments: Ensuring Repeatability

Learn how to combine vibe coding's speed with Infrastructure as Code (IaC) to create repeatable, secure, and scalable deployments using AI tools like Cursor and Terraform.
Measuring Factuality and Faithfulness in RAG-Enabled LLMs

Measuring Factuality and Faithfulness in RAG-Enabled LLMs

Learn the critical difference between factuality and faithfulness in RAG-enabled LLMs. Explore the RAGAS framework, LLM-as-a-judge metrics, and benchmarks to stop hallucinations.
Latency vs Throughput: Balancing Performance in Production LLM Deployments

Latency vs Throughput: Balancing Performance in Production LLM Deployments

Learn how to balance latency and throughput in production LLM deployments to optimize cost and user experience using vLLM, TGI, and hardware tuning.
Legal Counsel Playbook for Generative AI: Priorities, Checklists, and Training

Legal Counsel Playbook for Generative AI: Priorities, Checklists, and Training

Learn how to build a Legal Counsel Playbook for Generative AI. This guide covers priorities, implementation checklists, and training to automate contract review and scale legal ops.
Transfer Learning in NLP: How Pretraining Fueled the LLM Revolution

Transfer Learning in NLP: How Pretraining Fueled the LLM Revolution

Discover how transfer learning and pretraining shifted NLP from rigid, task-specific models to the versatile Large Language Models (LLMs) powering today's AI.
Contextual Representations in LLMs: How AI Understands Meaning

Contextual Representations in LLMs: How AI Understands Meaning

Explore how LLMs use contextual representations to understand word meanings, the role of the transformer architecture, and the impact of context windows on AI memory.
Security Hardening for LLM Serving: Image Scanning and Runtime Policies
Tess Rempel

Security Hardening for LLM Serving: Image Scanning and Runtime Policies

Learn how to secure LLM deployments using image scanning and runtime policies to prevent prompt injection and data leaks. Expert guide for 2026.