SCC Comets

Architectural Innovations Powering Modern Generative AI Systems

Architectural Innovations Powering Modern Generative AI Systems

Discover how architectural innovations like Mixture-of-Experts and verifiable reasoning are transforming generative AI. Learn why system-level intelligence beats monolithic models in speed, cost, and reliability for 2026 enterprises.
Model Compression for LLMs: Distillation, Quantization, and Pruning Explained

Model Compression for LLMs: Distillation, Quantization, and Pruning Explained

Explore model compression techniques for LLMs including quantization, pruning, and distillation. Learn how to reduce GPU costs, improve inference speed, and deploy AI on edge devices without sacrificing accuracy.
Enterprise Data Governance for Large Language Model Deployments: A Practical Guide

Enterprise Data Governance for Large Language Model Deployments: A Practical Guide

Discover how to build robust enterprise data governance for Large Language Model deployments. Learn core principles, technical architectures, and tools like Microsoft Purview to ensure compliance, transparency, and ethical AI use.
Vibe Coding: Realistic Productivity Gains vs. The 126% Myth

Vibe Coding: Realistic Productivity Gains vs. The 126% Myth

Explore the reality behind vibe coding productivity claims. While headlines promise 126% gains, data shows sustainable improvements of 26-81% depending on task complexity. Learn how to balance speed with quality.
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.