SCC Comets

Tess Rempel Jun, 26 2026 Artificial Intelligence

Task Decontamination for LLM Benchmarks: How to Stop Training Data Leakage

Learn how to prevent training data leakage in LLM benchmarks using task decontamination techniques like ConTAM and lm-evaluation-harness to ensure accurate model evaluation.

Tess Rempel Jun, 25 2026 Artificial Intelligence

State-Level Generative AI Laws in the US: California, Colorado, Illinois, and Utah (2026 Guide)

Navigate the complex landscape of US state-level generative AI laws. This guide covers key regulations in California, Colorado, Illinois, and Utah, helping you understand compliance requirements for transparency, training data, and biometrics.

Tess Rempel Jun, 24 2026 Artificial Intelligence

Edge Cases That Trigger Hallucinations in Generative AI: Patterns and Prevention

Explore the edge cases that trigger hallucinations in generative AI, including prompt ambiguity and domain specificity. Learn proven prevention strategies like RAG and automated fact-checking to mitigate risks in enterprise deployments.

Tess Rempel Jun, 23 2026 Artificial Intelligence

On-Prem and Private Cloud LLMs for Regulated Data Handling: A Complete Guide

Explore how on-premise and private cloud LLMs solve data privacy challenges in regulated industries. Learn about deployment options, cost benefits, and compliance strategies for HIPAA and GDPR.

Tess Rempel Jun, 22 2026 Artificial Intelligence

Calibrating Confidence in Large Language Models: Techniques and Metrics

Explore techniques to calibrate confidence in LLMs, including verbalized confidence, the Thermometer method, and key metrics like ECE. Learn how to fix AI overconfidence for safer deployments.

Tess Rempel Jun, 21 2026 Artificial Intelligence

Cut GenAI Cloud Costs: Scheduling, Autoscaling & Spot Instances Guide

Learn how to cut generative AI cloud costs by up to 75% using scheduling, autoscaling, and spot instances. Practical strategies for FinOps and cost management.

Tess Rempel Jun, 20 2026 Artificial Intelligence

Cost-Aware Scheduling for Large Language Model Workloads: A Practical Guide

Learn how cost-aware scheduling optimizes LLM workloads by balancing speed and spending. Explore frameworks like DeepServe++ and CATP-LLM to cut inference costs.

Tess Rempel Jun, 19 2026 Artificial Intelligence

Vibe Coding KPIs: Tracking Lead Time, Defect Rates & Vibe Debt

Discover the essential KPIs for vibe coding programs. Learn how to track lead time, defect rates, and vibe debt to ensure your AI-assisted development is efficient, secure, and sustainable.

Tess Rempel Jun, 18 2026 Artificial Intelligence

Documentation Standards for Prompts, Templates, and LLM Playbooks: A 2026 Guide

Discover how documentation standards for prompts and LLM playbooks boost AI productivity by 78%. Compare top frameworks like CAP and Devin AI, and learn why structured prompts are the future of AI governance.

Tess Rempel Jun, 17 2026 Artificial Intelligence

Domain Adaptation for Large Language Models: Medical, Legal, and Finance Examples

Explore how domain adaptation transforms general LLMs into specialized experts for medical, legal, and finance sectors. Learn practical techniques like PEFT, UDA, and RAG to overcome domain shifts and improve accuracy.

Tess Rempel Jun, 16 2026 Cybersecurity

Self-Hosting LLMs: Security, Compliance, and the API vs. Open-Source Reality

Explore the critical security and compliance considerations for self-hosting large language models. Learn how to balance data sovereignty with operational complexity.

Tess Rempel Jun, 15 2026 Artificial Intelligence

LLM Limitations Guide: Setting Realistic Expectations for Users

Learn how to set realistic expectations for AI tools. This guide explains LLM limitations like hallucinations and bias, offering practical strategies for safe and responsible use in professional and educational settings.