SCC Comets

Tess Rempel Aug, 18 2026 Artificial Intelligence

Benchmarking Scaling Outcomes: Measuring Returns on Bigger LLMs

Discover why bigger LLMs don't always mean better returns. Learn how to measure true ROI by balancing cost, latency, and real-world performance against flawed benchmark scores.

Tess Rempel Aug, 17 2026 Cybersecurity

AI-Generated Code Security: Risks and Management Strategies

Discover why AI-generated code poses unique security risks and learn practical strategies to manage vulnerabilities in your development workflow.

Tess Rempel Aug, 16 2026 Artificial Intelligence

LLM Versioning and Rollback Strategies for Production Weights

Learn how to implement robust versioning and rollback strategies for LLM weights. Covers DVC, W&B, and CI/CD integration to ensure safe, auditable AI deployments.

Tess Rempel Aug, 15 2026 Cybersecurity

Secure Development for Generative AI: Secrets, Logging, and Red-Teaming

Learn how to secure Generative AI apps by mastering secrets management, implementing smart logging, and conducting effective red-teaming to prevent prompt injection and data leaks.

Tess Rempel Aug, 14 2026 Cybersecurity

Vendor Risk Assessments for AI Coding Platforms: A Complete Guide

Learn how to conduct vendor risk assessments for AI coding platforms. This guide covers FSISAC frameworks, key metrics, and comparisons of top tools like Copilot and CodeWhisperer.

Tess Rempel Aug, 13 2026 Artificial Intelligence

Production LLM Infrastructure: Hardware, Scaling, and Cost Strategies for 2026

A comprehensive guide to building production-ready infrastructure for Large Language Models, covering GPU selection, memory optimization, storage tiering, and cost-effective deployment strategies for 2026.

Tess Rempel Aug, 12 2026 Artificial Intelligence

Total Cost of Ownership Models for Scaling Large Language Models

Discover the real costs behind scaling Large Language Models. We break down Total Cost of Ownership (TCO) models, comparing training, fine-tuning, and API usage to help you budget accurately.

Tess Rempel Aug, 11 2026 Artificial Intelligence

GitHub Copilot in Vibe Coding: Strengths, Limits, and Workarounds

Explore how GitHub Copilot enables vibe coding, its strengths in rapid prototyping, limitations in maintenance and cost, and practical workarounds for effective AI-assisted development.

Tess Rempel Aug, 10 2026 Artificial Intelligence

How to Review AI-Generated Code Without Reading Every Line: A Practical Guide for 2026

Learn how to review AI-generated code efficiently without reading every line. Discover decision review, risk-based strategies, and evidence-based validation techniques for vibe coding workflows.

Tess Rempel Aug, 9 2026 Artificial Intelligence

Post-Training Evaluation Gates: A Checklist for Shipping Safe LLMs

Learn how to implement post-training evaluation gates to prevent catastrophic forgetting and ensure LLM safety before deployment. Includes frameworks from OpenAI, Meta, and Google.

Tess Rempel Aug, 8 2026 Artificial Intelligence

Persona Calibration in Generative AI: How to Keep Consistency Across Sessions and Channels

Learn how to master persona calibration in generative AI. Discover techniques to prevent persona drift and ensure consistent AI behavior across sessions and channels.

Tess Rempel Aug, 7 2026 Cybersecurity

Confidential Computing for LLM Inference: TEEs and Encryption-in-Use

Learn how confidential computing and TEEs protect LLM inference data in use. Explore encryption-in-use benefits, hardware options like NVIDIA H100, and cloud implementations for secure AI.