SCC Comets

Tess Rempel Nov, 5 2026 Artificial Intelligence

Marketing Vibe Coding Wins: Internal Adoption Strategies

Learn how to market vibe coding wins internally by focusing on business impact, not code. Discover frameworks for showcasing ROI, overcoming skepticism, and driving adoption of AI development tools.

Tess Rempel Nov, 4 2026 Artificial Intelligence

Performance vs Cost Curves: Finding Elbows for LLM Investment Decisions

Stop overpaying for AI. Learn how to identify 'elbow points' in performance vs cost curves to maximize ROI on LLM investments. Includes 2026 pricing data and strategic frameworks.

Tess Rempel Nov, 3 2026 Artificial Intelligence

Agentic Systems vs Vibe Coding: Choosing the Right Autonomy Level

Discover the key differences between vibe coding and agentic systems. Learn when to use each approach for speed, scale, and reliability in modern software development.

Tess Rempel Nov, 2 2026 Artificial Intelligence

Evaluating LLM Agents: Task Success, Safety, and Cost Metrics

Learn how to effectively evaluate LLM agents by balancing task success, safety risks, and operational costs. Discover metrics beyond binary success, including milestone tracking and tool accuracy.

Tess Rempel Nov, 1 2026 Artificial Intelligence

Reducing Hallucinations in Large Language Models: A Practical Guide

Learn practical strategies to reduce LLM hallucinations, from prompt engineering and RAG to fine-tuning. Discover how to balance cost, speed, and accuracy for reliable AI.

Tess Rempel Oct, 31 2026 Artificial Intelligence

Encoder-Decoder vs Decoder-Only Transformers: LLM Architecture Guide

Discover the key differences between encoder-decoder and decoder-only transformers. Learn which architecture fits your LLM project, covering speed, accuracy, and use cases.

Tess Rempel Oct, 30 2026 Artificial Intelligence

How to Avoid Proxy Discrimination in LLM-Powered Decision Systems

Learn how to identify and mitigate proxy discrimination in LLM-powered decision systems. Discover why removing protected attributes isn't enough and explore formal detection methods.

Tess Rempel Oct, 29 2026 Artificial Intelligence

Deterministic Prompts: How to Reduce Variance in LLM Responses

Learn how to reduce LLM output variance using deterministic prompts. Discover key parameters like temperature and top-p, plus advanced techniques for stable AI applications.

Tess Rempel Oct, 28 2026 Artificial Intelligence

Domain-Specialized Generative AI: Why Vertical Excellence Beats Generality

Discover why domain-specialized generative AI outperforms general models in accuracy and ROI. Learn how vertical excellence transforms healthcare, finance, and legal workflows through targeted fine-tuning and reduced hallucinations.

Tess Rempel Oct, 27 2026 Artificial Intelligence

Measuring Data Quality for LLM Training: Model-Based and Heuristic Filters

Learn how to measure data quality for LLM training using heuristic filters and model-based classifiers. Discover cascading strategies to balance cost and accuracy.

Tess Rempel Oct, 26 2026 Artificial Intelligence

Changelogs and Decision Logs: Tracking AI Choices Over Time

Discover why changelogs and decision logs are vital for AI maintainability. Learn how to track model choices, ensure EU AI Act compliance, and avoid common documentation pitfalls.

Tess Rempel Oct, 25 2026 Artificial Intelligence

AI Watermarking: How It Works and Why It Fails

Discover how AI watermarking works, from text biasing to neural image encoders. Learn why paraphrasing breaks these signals and how C2PA metadata complements in-content marks.