SCC Comets

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.

Tess Rempel Aug, 6 2026 Cybersecurity

Access Control and Authentication Patterns for LLM Services: A Security Guide

Explore essential access control and authentication patterns for securing LLM services. Learn how to implement OAuth2, JWT, and PBAC to protect against prompt injection and unauthorized data access.

Tess Rempel Aug, 5 2026 Artificial Intelligence

Function Calling with LLMs: How to Connect AI to External APIs in 2026

Learn how function calling connects Large Language Models to external APIs for real-time data. Compare GPT-4, Claude, and Gemini implementations, avoid common pitfalls, and secure your enterprise AI apps.

Tess Rempel Aug, 4 2026 Artificial Intelligence

LLM-as-a-Judge Guide: How to Use AI Models to Evaluate Other LLMs

Learn how LLM-as-a-Judge methods work to evaluate AI models. We cover key metrics, top tools like OpenAI Evals and DeepEval, and how to avoid bias in 2026.

Tess Rempel Aug, 3 2026 Artificial Intelligence

How Reasoning-Enhanced LLMs Are Revolutionizing Scientific Discovery

Discover how reasoning-enhanced LLMs like MPPReasoner are transforming scientific discovery by generating hypotheses, designing experiments, and solving complex problems with logical precision.

Tess Rempel Aug, 2 2026 Artificial Intelligence

Prompt-to-Response Latency in LLMs: What Actually Happens During Inference

Explore the mechanics behind LLM latency, including TTFT and ITL metrics. Learn how hardware, prompt length, and architecture impact response times and discover practical optimization strategies.