<?xml version="1.0" encoding="UTF-8" ?><feed xmlns="http://www.w3.org/2005/Atom"><title>SCC Comets</title><link href="https://scc-comets.com/"/><updated>2026-05-07T06:07:41+00:00</updated><id>https://scc-comets.com/</id><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author><entry><title>Architectural Innovations Powering Modern Generative AI Systems</title><link href="https://scc-comets.com/architectural-innovations-powering-modern-generative-ai-systems"/><summary>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.</summary><updated>2026-05-07T06:07:41+00:00</updated><published>2026-05-07T06:07:41+00:00</published><category>Software Architecture</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Model Compression for LLMs: Distillation, Quantization, and Pruning Explained</title><link href="https://scc-comets.com/model-compression-for-llms-distillation-quantization-and-pruning-explained"/><summary>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.</summary><updated>2026-05-06T06:37:25+00:00</updated><published>2026-05-06T06:37:25+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Enterprise Data Governance for Large Language Model Deployments: A Practical Guide</title><link href="https://scc-comets.com/enterprise-data-governance-for-large-language-model-deployments-a-practical-guide"/><summary>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.</summary><updated>2026-05-05T06:43:00+00:00</updated><published>2026-05-05T06:43:00+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Vibe Coding: Realistic Productivity Gains vs. The 126% Myth</title><link href="https://scc-comets.com/vibe-coding-realistic-productivity-gains-vs.-the-126-myth"/><summary>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.</summary><updated>2026-05-04T06:13:48+00:00</updated><published>2026-05-04T06:13:48+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Balanced Training Data Curation for LLM Fairness: A Practical Guide</title><link href="https://scc-comets.com/balanced-training-data-curation-for-llm-fairness-a-practical-guide"/><summary>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.</summary><updated>2026-05-03T06:19:40+00:00</updated><published>2026-05-03T06:19:40+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>How to Keep LLMs Safe During Fine-Tuning: A Practical Guide</title><link href="https://scc-comets.com/how-to-keep-llms-safe-during-fine-tuning-a-practical-guide"/><summary>Discover how to prevent safety degradation during LLM fine-tuning using techniques like SafeGrad, layer freezing, and continuous monitoring to maintain alignment.</summary><updated>2026-05-02T06:15:31+00:00</updated><published>2026-05-02T06:15:31+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Unit Test First Prompting: A Guide to Generating Tests Before Code with AI</title><link href="https://scc-comets.com/unit-test-first-prompting-a-guide-to-generating-tests-before-code-with-ai"/><summary>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.</summary><updated>2026-05-01T06:16:34+00:00</updated><published>2026-05-01T06:16:34+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Vibe Coding and Kids: Navigating COPPA and Modern Age Gates in 2026</title><link href="https://scc-comets.com/vibe-coding-and-kids-navigating-coppa-and-modern-age-gates-in"/><summary>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.</summary><updated>2026-04-30T06:01:39+00:00</updated><published>2026-04-30T06:01:39+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>LLM Data Residency Guide: Managing Regional Compliance in AI Deployments</title><link href="https://scc-comets.com/llm-data-residency-guide-managing-regional-compliance-in-ai-deployments"/><summary>A comprehensive guide to managing data residency and regional controls for LLM deployments, covering EU AI Act, PIPL, and architectural strategies for 2026.</summary><updated>2026-04-29T06:21:24+00:00</updated><published>2026-04-29T06:21:24+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Infrastructure as Code for Vibe-Coded Deployments: Ensuring Repeatability</title><link href="https://scc-comets.com/infrastructure-as-code-for-vibe-coded-deployments-ensuring-repeatability"/><summary>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.</summary><updated>2026-04-28T05:56:32+00:00</updated><published>2026-04-28T05:56:32+00:00</published><category>Software Architecture</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Measuring Factuality and Faithfulness in RAG-Enabled LLMs</title><link href="https://scc-comets.com/measuring-factuality-and-faithfulness-in-rag-enabled-llms"/><summary>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.</summary><updated>2026-04-26T06:06:21+00:00</updated><published>2026-04-26T06:06:21+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Latency vs Throughput: Balancing Performance in Production LLM Deployments</title><link href="https://scc-comets.com/latency-vs-throughput-balancing-performance-in-production-llm-deployments"/><summary>Learn how to balance latency and throughput in production LLM deployments to optimize cost and user experience using vLLM, TGI, and hardware tuning.</summary><updated>2026-04-25T06:01:41+00:00</updated><published>2026-04-25T06:01:41+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Legal Counsel Playbook for Generative AI: Priorities, Checklists, and Training</title><link href="https://scc-comets.com/legal-counsel-playbook-for-generative-ai-priorities-checklists-and-training"/><summary>Learn how to build a Legal Counsel Playbook for Generative AI. This guide covers priorities, implementation checklists, and training to automate contract review and scale legal ops.</summary><updated>2026-04-24T06:09:59+00:00</updated><published>2026-04-24T06:09:59+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Transfer Learning in NLP: How Pretraining Fueled the LLM Revolution</title><link href="https://scc-comets.com/transfer-learning-in-nlp-how-pretraining-fueled-the-llm-revolution"/><summary>Discover how transfer learning and pretraining shifted NLP from rigid, task-specific models to the versatile Large Language Models (LLMs) powering today's AI.</summary><updated>2026-04-23T06:00:12+00:00</updated><published>2026-04-23T06:00:12+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Contextual Representations in LLMs: How AI Understands Meaning</title><link href="https://scc-comets.com/contextual-representations-in-llms-how-ai-understands-meaning"/><summary>Explore how LLMs use contextual representations to understand word meanings, the role of the transformer architecture, and the impact of context windows on AI memory.</summary><updated>2026-04-22T05:52:58+00:00</updated><published>2026-04-22T05:52:58+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Security Hardening for LLM Serving: Image Scanning and Runtime Policies</title><link href="https://scc-comets.com/security-hardening-for-llm-serving-image-scanning-and-runtime-policies"/><summary>Learn how to secure LLM deployments using image scanning and runtime policies to prevent prompt injection and data leaks. Expert guide for 2026.</summary><updated>2026-04-21T05:55:59+00:00</updated><published>2026-04-21T05:55:59+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>HumanEval and Code Benchmarks: Testing LLM Programming Ability</title><link href="https://scc-comets.com/humaneval-and-code-benchmarks-testing-llm-programming-ability"/><summary>Discover how HumanEval and other code benchmarks test if LLMs can actually program or just mimic syntax. Learn about pass@k, data leakage, and functional correctness.</summary><updated>2026-04-20T05:53:28+00:00</updated><published>2026-04-20T05:53:28+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Synthetic Data for Testing Vibe-Coded Apps at Scale</title><link href="https://scc-comets.com/synthetic-data-for-testing-vibe-coded-apps-at-scale"/><summary>Learn how to use AI-driven synthetic data to test vibe-coded applications, avoiding production crashes and identifying critical vulnerabilities at scale.</summary><updated>2026-04-19T06:21:06+00:00</updated><published>2026-04-19T06:21:06+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Funding Vibe Coding: How to Manage Chargebacks and Budgets</title><link href="https://scc-comets.com/funding-vibe-coding-how-to-manage-chargebacks-and-budgets"/><summary>Learn how to manage the volatile costs of vibe coding. Explore funding models, prevent budget spikes, and implement governance to balance AI speed with financial control.</summary><updated>2026-04-18T05:53:08+00:00</updated><published>2026-04-18T05:53:08+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Generative AI for Software Development: Boosting Productivity with AI Coding Assistants</title><link href="https://scc-comets.com/generative-ai-for-software-development-boosting-productivity-with-ai-coding-assistants"/><summary>Explore how AI coding assistants impact software development productivity, including the gains, security risks, and the AI Productivity Paradox for 2026.</summary><updated>2026-04-17T05:59:59+00:00</updated><published>2026-04-17T05:59:59+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Pair Reviewing with AI: Human + Model Code Review Workflows</title><link href="https://scc-comets.com/pair-reviewing-with-ai-human-model-code-review-workflows"/><summary>Learn how to combine AI models with human expertise to streamline code reviews, reduce PR cycle times, and improve long-term software maintainability.</summary><updated>2026-04-16T06:28:37+00:00</updated><published>2026-04-16T06:28:37+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Keyboard and Screen Reader Support in AI-Generated UI Components</title><link href="https://scc-comets.com/keyboard-and-screen-reader-support-in-ai-generated-ui-components"/><summary>Learn how to ensure AI-generated UI components support keyboard navigation and screen readers, from implementing ARIA attributes to avoiding common keyboard traps.</summary><updated>2026-04-14T06:29:47+00:00</updated><published>2026-04-14T06:29:47+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Safety Innovations in Generative AI: Contextual Policies and Dynamic Guardrails</title><link href="https://scc-comets.com/safety-innovations-in-generative-ai-contextual-policies-and-dynamic-guardrails"/><summary>Explore the latest in Generative AI safety for 2026, focusing on contextual policies and dynamic guardrails to combat deepfakes and AI-driven cyberattacks.</summary><updated>2026-04-13T06:28:43+00:00</updated><published>2026-04-13T06:28:43+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Legal Guide to Deploying Open-Source LLMs: Licensing and Compliance</title><link href="https://scc-comets.com/legal-guide-to-deploying-open-source-llms-licensing-and-compliance"/><summary>Navigate the legal complexities of open-source LLMs. Learn the difference between permissive and copyleft licenses and how to avoid multi-million dollar penalties.</summary><updated>2026-04-12T06:20:00+00:00</updated><published>2026-04-12T06:20:00+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Privacy Controls for RAG: Implementing Row-Level Security and Redaction</title><link href="https://scc-comets.com/privacy-controls-for-rag-implementing-row-level-security-and-redaction"/><summary>Learn how to secure RAG architectures using row-level security and redaction. Prevent data leaks and PII exposure in LLM applications with a defense-in-depth strategy.</summary><updated>2026-04-11T06:33:56+00:00</updated><published>2026-04-11T06:33:56+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Design Systems for AI-Generated UI: Keeping Components Consistent</title><link href="https://scc-comets.com/design-systems-for-ai-generated-ui-keeping-components-consistent"/><summary>Learn how to integrate AI into your design systems using design tokens and constraint-based generation to maintain UI consistency and accessibility.</summary><updated>2026-04-10T06:24:25+00:00</updated><published>2026-04-10T06:24:25+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Mastering LLM Prompting for Unit Tests and Code Refactoring</title><link href="https://scc-comets.com/mastering-llm-prompting-for-unit-tests-and-code-refactoring"/><summary>Learn how to use structured prompt patterns like the Recipe and Context patterns to generate passing unit tests and safe code refactors using LLMs.</summary><updated>2026-04-09T05:50:11+00:00</updated><published>2026-04-09T05:50:11+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Data Retention Policies for Vibe-Coded SaaS: What to Keep and Purge</title><link href="https://scc-comets.com/data-retention-policies-for-vibe-coded-saas-what-to-keep-and-purge"/><summary>Learn how to manage data retention for vibe-coded SaaS apps. Avoid GDPR fines and reduce storage costs by implementing strict data minimization in your AI prompts.</summary><updated>2026-04-08T06:12:33+00:00</updated><published>2026-04-08T06:12:33+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Solving Dataset Bias in Multimodal Generative AI: A Guide to Fair Representation</title><link href="https://scc-comets.com/solving-dataset-bias-in-multimodal-generative-ai-a-guide-to-fair-representation"/><summary>Explore how dataset bias affects multimodal generative AI, the difference between under and misrepresentation, and the latest CA-GAN techniques to ensure fair AI outputs.</summary><updated>2026-04-07T05:59:54+00:00</updated><published>2026-04-07T05:59:54+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Structured Prompting: How to Constrain LLM Reasoning for Better Accuracy</title><link href="https://scc-comets.com/structured-prompting-how-to-constrain-llm-reasoning-for-better-accuracy"/><summary>Learn how to use structured prompting to constrain LLM reasoning, reduce hallucinations, and improve factuality through frameworks like Chain-of-Thought and DisCIPL.</summary><updated>2026-04-05T06:06:34+00:00</updated><published>2026-04-05T06:06:34+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Why Transformers Use Two-Layer Feedforward Networks for LLM Performance</title><link href="https://scc-comets.com/why-transformers-use-two-layer-feedforward-networks-for-llm-performance"/><summary>Explore why the two-layer Feedforward Network is essential for LLMs. Learn how this design balances non-linearity, factual memory, and computational efficiency.</summary><updated>2026-04-04T00:52:52+00:00</updated><published>2026-04-04T00:52:52+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Transparency and Explainability in Large Language Model Decisions</title><link href="https://scc-comets.com/transparency-and-explainability-in-large-language-model-decisions"/><summary>Explore how transparency and explainability impact large language model decisions, covering data provenance, bias mitigation, and XAI techniques for trustworthy AI.</summary><updated>2026-04-01T06:04:09+00:00</updated><published>2026-04-01T06:04:09+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>How LSTMs Paved the Way for Transformer-Based Large Language Models</title><link href="https://scc-comets.com/how-lstms-paved-the-way-for-transformer-based-large-language-models"/><summary>Explore how LSTM networks solved the vanishing gradient problem and set the foundation for modern Transformers. This guide covers the architectural evolution from sequential processing to parallel attention mechanisms.</summary><updated>2026-03-31T06:20:09+00:00</updated><published>2026-03-31T06:20:09+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Agentic Generative AI: Mastering Autonomous Planning and Workflow Execution</title><link href="https://scc-comets.com/agentic-generative-ai-mastering-autonomous-planning-and-workflow-execution"/><summary>Discover how Agentic Generative AI transforms reactive chatbots into proactive systems that plan and execute multi-step workflows autonomously.</summary><updated>2026-03-30T06:17:49+00:00</updated><published>2026-03-30T06:17:49+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Cybersecurity and Generative AI: Threat Reports, Playbooks, and Simulations</title><link href="https://scc-comets.com/cybersecurity-and-generative-ai-threat-reports-playbooks-and-simulations"/><summary>Explore the 2026 cybersecurity landscape where Generative AI drives both threats and defense. Learn about key risks like prompt injections, shadow agents, and how to build effective security playbooks using industry frameworks.</summary><updated>2026-03-29T06:01:18+00:00</updated><published>2026-03-29T06:01:18+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Building AI Chatbots and Assistants with Vibe Coding and Retrieval Systems</title><link href="https://scc-comets.com/building-ai-chatbots-and-assistants-with-vibe-coding-and-retrieval-systems"/><summary>Learn how to build advanced AI assistants using vibe coding and retrieval-augmented generation. We cover tools like Cursor and Windsurf, practical RAG setups, and real-world troubleshooting tips.</summary><updated>2026-03-28T05:56:45+00:00</updated><published>2026-03-28T05:56:45+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>From BERT to GPT: Understanding the Evolution of AI Architectures</title><link href="https://scc-comets.com/from-bert-to-gpt-understanding-the-evolution-of-ai-architectures"/><summary>Explore the key architectural differences between BERT and GPT models. Learn how encoder-only and decoder-only designs impact text understanding and generation.</summary><updated>2026-03-27T06:11:11+00:00</updated><published>2026-03-27T06:11:11+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Multilingual NLP Progress: How Large Language Models Handle Many Languages</title><link href="https://scc-comets.com/multilingual-nlp-progress-how-large-language-models-handle-many-languages"/><summary>Explore how Large Language Models manage multiple languages, covering architectural changes, the English-centric reasoning layer, and challenges for low-resource tongues.</summary><updated>2026-03-26T06:56:24+00:00</updated><published>2026-03-26T06:56:24+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Predicting Future LLM Price Trends: Competition and Commoditization (2026-2027)</title><link href="https://scc-comets.com/predicting-future-llm-price-trends-competition-and-commoditization-2026"/><summary>LLM prices have plummeted 98% since 2023. Discover the 2026 pricing landscape, hidden costs like reasoning tokens, and the shift to per-action billing models.</summary><updated>2026-03-25T06:44:31+00:00</updated><published>2026-03-25T06:44:31+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>On-Device Generative AI: How Edge AI Delivers Privacy and Speed Without the Cloud</title><link href="https://scc-comets.com/on-device-generative-ai-how-edge-ai-delivers-privacy-and-speed-without-the-cloud"/><summary>On-device generative AI processes data locally on your phone or smart device, eliminating cloud delays and keeping your data private. It's faster, more secure, and already in your hands.</summary><updated>2026-03-23T06:05:46+00:00</updated><published>2026-03-23T06:05:46+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Monolith or Microservices for Vibe Coding: How to Choose the Right Architecture</title><link href="https://scc-comets.com/monolith-or-microservices-for-vibe-coding-how-to-choose-the-right-architecture"/><summary>Choosing between monolith and microservices in Vibe Coding isn't about trends-it's about flow. Learn when to stick with one codebase and when to break things apart for faster, smarter shipping.</summary><updated>2026-03-22T06:03:36+00:00</updated><published>2026-03-22T06:03:36+00:00</published><category>Software Architecture</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Role Assignment in Vibe Coding Prompts: Senior Architect vs Junior Developer</title><link href="https://scc-comets.com/role-assignment-in-vibe-coding-prompts-senior-architect-vs-junior-developer"/><summary>Role assignment in vibe coding lets you tell AI whether to act like a senior architect or junior developer - and it dramatically changes code quality, security, and review time. Learn how to use it effectively.</summary><updated>2026-03-21T06:05:48+00:00</updated><published>2026-03-21T06:05:48+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>How AI High Performers Capture Value from Generative AI: Workflow Redesign and Scaling</title><link href="https://scc-comets.com/how-ai-high-performers-capture-value-from-generative-ai-workflow-redesign-and-scaling"/><summary>High-performing organizations don’t just use generative AI - they redesign workflows around it. Learn how companies like Klarna, Colgate, and Five Sigma cut costs, boosted productivity, and re-engaged employees by focusing on one high-impact use case at a time.</summary><updated>2026-03-20T06:06:48+00:00</updated><published>2026-03-20T06:06:48+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Scientific Workflows with Large Language Models: How Researchers Are Using Sci-LLMs to Accelerate Discovery</title><link href="https://scc-comets.com/scientific-workflows-with-large-language-models-how-researchers-are-using-sci-llms-to-accelerate-discovery"/><summary>Scientific Large Language Models (Sci-LLMs) are accelerating research by automating literature reviews, generating hypotheses, and designing experiments. Learn how they work, where they excel, and where they still fail.</summary><updated>2026-03-19T05:55:27+00:00</updated><published>2026-03-19T05:55:27+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Token Probability Calibration in LLMs: How to Fix Overconfidence in AI Predictions</title><link href="https://scc-comets.com/token-probability-calibration-in-llms-how-to-fix-overconfidence-in-ai-predictions"/><summary>Token probability calibration fixes AI overconfidence by aligning predicted probabilities with real accuracy. Learn how GPT-4, Llama-2, and other models misjudge confidence-and what to do about it.</summary><updated>2026-03-18T06:12:45+00:00</updated><published>2026-03-18T06:12:45+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Natural Language to Schema: How to Prompt Databases and ER Diagrams Effectively</title><link href="https://scc-comets.com/natural-language-to-schema-how-to-prompt-databases-and-er-diagrams-effectively"/><summary>Natural Language to Schema lets non-technical users query databases using plain English. Learn how ER diagrams, schema awareness, and LLMs work together to turn spoken questions into accurate SQL-plus real-world accuracy stats, tool comparisons, and implementation tips.</summary><updated>2026-03-17T06:08:39+00:00</updated><published>2026-03-17T06:08:39+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Domain-Specialized Large Language Models: Code, Math, and Medicine</title><link href="https://scc-comets.com/domain-specialized-large-language-models-code-math-and-medicine"/><summary>Domain-specialized LLMs like CodeLlama, Med-PaLM 2, and MathGLM are outperforming general AI models in code, math, and medicine - with higher accuracy, lower costs, and real-world impact.</summary><updated>2026-03-15T06:02:59+00:00</updated><published>2026-03-15T06:02:59+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Autoscaling Large Language Model Services: Policies, Signals, and Costs</title><link href="https://scc-comets.com/autoscaling-large-language-model-services-policies-signals-and-costs"/><summary>Autoscaling LLM services requires specialized metrics like prefill queue size and slots_used-not CPU or GPU usage. Learn how to balance cost and latency with real-world policies for chatbots, batch jobs, and real-time apps.</summary><updated>2026-03-13T06:06:29+00:00</updated><published>2026-03-13T06:06:29+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Multilingual RAG for Large Language Models: Overcoming Cross-Language Retrieval Challenges</title><link href="https://scc-comets.com/multilingual-rag-for-large-language-models-overcoming-cross-language-retrieval-challenges"/><summary>Multilingual RAG lets LLMs answer questions across languages using external data-but hidden biases favor English. Learn how cross-language retrieval fails, why translation alone isn’t enough, and what new frameworks like DKM-RAG are doing to fix it.</summary><updated>2026-03-11T05:55:11+00:00</updated><published>2026-03-11T05:55:11+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Vision-Language Applications with Multimodal Large Language Models</title><link href="https://scc-comets.com/vision-language-applications-with-multimodal-large-language-models"/><summary>Vision-language models now combine image and text understanding in real-time, transforming document processing, healthcare, and robotics. Open-source models like GLM-4.6V are outperforming proprietary systems in key areas, despite high compute costs and hallucination risks.</summary><updated>2026-03-07T06:08:19+00:00</updated><published>2026-03-07T06:08:19+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry></feed>