<?xml version="1.0" encoding="UTF-8" ?><feed xmlns="http://www.w3.org/2005/Atom"><title>Tri-City AI Links</title><link href="https://tri-citylinks.com/"/><updated>2026-06-23T05:57:13+00:00</updated><id>https://tri-citylinks.com/</id><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author><entry><title>Transformers, Diffusion Models, and GANs: The Core Tech Behind Generative AI</title><link href="https://tri-citylinks.com/transformers-diffusion-models-and-gans-the-core-tech-behind-generative-ai"/><summary>Explore the core technologies driving Generative AI: Transformers, Diffusion Models, and GANs. Learn how they work, compare their performance, and discover why hybrid architectures are shaping the future of AI.</summary><updated>2026-06-23T05:57:13+00:00</updated><published>2026-06-23T05:57:13+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Model Denial-of-Service Attacks on LLM APIs: Prevention and Resilience</title><link href="https://tri-citylinks.com/model-denial-of-service-attacks-on-llm-apis-prevention-and-resilience"/><summary>Learn how to prevent Model Denial-of-Service attacks on LLM APIs. Discover detection methods, safeguard exploitation risks, and resilience strategies for 2026.</summary><updated>2026-06-22T06:23:40+00:00</updated><published>2026-06-22T06:23:40+00:00</published><category>Cybersecurity &amp; Governance</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Cost-Aware Scheduling for LLM Workloads: A Practical Guide to Saving Money and Meeting SLAs</title><link href="https://tri-citylinks.com/cost-aware-scheduling-for-llm-workloads-a-practical-guide-to-saving-money-and-meeting-slas"/><summary>Learn how cost-aware scheduling optimizes LLM inference by balancing SLAs and GPU costs. Explore frameworks like DeepServe++ and CATP-LLM to cut expenses and improve latency.</summary><updated>2026-06-21T05:59:27+00:00</updated><published>2026-06-21T05:59:27+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Generative AI Careers: Top Roles, Curricula, and Certifications for 2026</title><link href="https://tri-citylinks.com/generative-ai-careers-top-roles-curricula-and-certifications-for"/><summary>Explore the 2026 landscape of Generative AI careers. Discover top roles, essential certifications like AWS and Certiport, and curated curricula to launch your AI journey.</summary><updated>2026-06-20T06:04:15+00:00</updated><published>2026-06-20T06:04:15+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Customizing LLMs: Fine-Tuning, Adapters (LoRA), and Prompts Explained</title><link href="https://tri-citylinks.com/customizing-llms-fine-tuning-adapters-lora-and-prompts-explained"/><summary>Explore LLM customization paths: full fine-tuning, LoRA adapters, and prompt engineering. Learn which method fits your budget, compute limits, and task needs for optimal AI performance.</summary><updated>2026-06-19T06:06:25+00:00</updated><published>2026-06-19T06:06:25+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>How to Make LLMs Self-Correct: Error Messages and Feedback Prompts That Work</title><link href="https://tri-citylinks.com/how-to-make-llms-self-correct-error-messages-and-feedback-prompts-that-work"/><summary>Learn how to use error messages and feedback prompts to enable LLM self-correction. Discover intrinsic, multi-turn, and FTR methods to reduce AI errors by up to 45%.</summary><updated>2026-06-18T05:54:16+00:00</updated><published>2026-06-18T05:54:16+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Healthcare Compliance for Generative AI: Navigating HIPAA, FDA Rules, and Clinical Claims</title><link href="https://tri-citylinks.com/healthcare-compliance-for-generative-ai-navigating-hipaa-fda-rules-and-clinical-claims"/><summary>Navigate the complex landscape of healthcare compliance for generative AI. Learn how to satisfy HIPAA privacy rules, understand FDA regulations for medical devices, and avoid pitfalls with clinical claims.</summary><updated>2026-06-17T06:01:15+00:00</updated><published>2026-06-17T06:01:15+00:00</published><category>Cybersecurity &amp; Governance</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Establishing Coding Standards for Vibe-Coded Repositories: A Practical Guide</title><link href="https://tri-citylinks.com/establishing-coding-standards-for-vibe-coded-repositories-a-practical-guide"/><summary>Learn how to establish effective coding standards for vibe-coded repositories to ensure maintainability, security, and consistency in AI-assisted development workflows.</summary><updated>2026-06-16T05:55:38+00:00</updated><published>2026-06-16T05:55:38+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Structured vs. Unstructured Pruning: How to Compress LLMs Without Losing Brains</title><link href="https://tri-citylinks.com/structured-vs.-unstructured-pruning-how-to-compress-llms-without-losing-brains"/><summary>Learn how structured and unstructured pruning compress Large Language Models. Compare Wanda and FASP methods, hardware requirements, and real-world speedups for efficient AI deployment.</summary><updated>2026-06-15T05:58:49+00:00</updated><published>2026-06-15T05:58:49+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Finance and Generative AI: Board Narratives and Governance Essentials</title><link href="https://tri-citylinks.com/finance-and-generative-ai-board-narratives-and-governance-essentials"/><summary>Explore how boards can govern Generative AI in finance. Learn about real-world performance metrics, regulatory risks, and essential oversight frameworks for 2026.</summary><updated>2026-06-14T05:51:44+00:00</updated><published>2026-06-14T05:51:44+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Architecture-Aware Prompting: How to Guide AI for Better Software Design</title><link href="https://tri-citylinks.com/architecture-aware-prompting-how-to-guide-ai-for-better-software-design"/><summary>Learn how to use architecture-aware prompting to guide AI systems toward better software designs. Discover techniques for providing context, decomposing requirements, and verifying outputs.</summary><updated>2026-06-13T05:57:55+00:00</updated><published>2026-06-13T05:57:55+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Protecting Sensitive Data in Generative AI: A Practical Governance Guide for 2026</title><link href="https://tri-citylinks.com/protecting-sensitive-data-in-generative-ai-a-practical-governance-guide-for"/><summary>Learn how to protect sensitive information in generative AI using practical governance strategies for 2026. Covers EU AI Act compliance, zero-trust architecture, and overcoming shadow AI risks.</summary><updated>2026-06-12T06:05:12+00:00</updated><published>2026-06-12T06:05:12+00:00</published><category>Cybersecurity &amp; Governance</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Prompting LLMs for Code: Patterns for Unit Tests and Refactors</title><link href="https://tri-citylinks.com/prompting-llms-for-code-patterns-for-unit-tests-and-refactors"/><summary>Master LLM prompting for code with proven patterns for unit tests and refactors. Learn to write precise, context-rich prompts that generate reliable, secure, and testable code without endless iterations.</summary><updated>2026-06-11T05:51:57+00:00</updated><published>2026-06-11T05:51:57+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Multi-Head Attention in LLMs: How Parallel Processing Powers AI Language</title><link href="https://tri-citylinks.com/multi-head-attention-in-llms-how-parallel-processing-powers-ai-language"/><summary>Discover how multi-head attention powers large language models by processing language from multiple perspectives simultaneously. Learn its mechanics, benefits over RNNs, and real-world impact.</summary><updated>2026-06-10T06:03:50+00:00</updated><published>2026-06-10T06:03:50+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Rapid Prototyping with APIs vs Production Hardening with Open-Source LLMs</title><link href="https://tri-citylinks.com/rapid-prototyping-with-apis-vs-production-hardening-with-open-source-llms"/><summary>Explore the trade-offs between rapid API prototyping and production hardening with open-source LLMs. Learn cost strategies, hybrid architectures, and operational best practices.</summary><updated>2026-06-09T06:01:18+00:00</updated><published>2026-06-09T06:01:18+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>AdamW vs Adafactor vs Lion: Choosing the Right LLM Optimizer in 2026</title><link href="https://tri-citylinks.com/adamw-vs-adafactor-vs-lion-choosing-the-right-llm-optimizer-in"/><summary>Compare AdamW, Adafactor, and Lion optimizers for LLM training in 2026. Analyze memory usage, convergence speed, and accuracy to choose the right tool for your pipeline.</summary><updated>2026-06-08T06:07:38+00:00</updated><published>2026-06-08T06:07:38+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Source Selection Policies for RAG: Balancing Relevance and Diversity</title><link href="https://tri-citylinks.com/source-selection-policies-for-rag-balancing-relevance-and-diversity"/><summary>Explore how balancing relevance and diversity in RAG source selection improves AI accuracy. Learn about MMR, lambda tuning, and enterprise implementation strategies.</summary><updated>2026-06-07T05:56:24+00:00</updated><published>2026-06-07T05:56:24+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Roles for Vibe Coding at Scale: AI Champions, Architects, and Verification Engineers</title><link href="https://tri-citylinks.com/roles-for-vibe-coding-at-scale-ai-champions-architects-and-verification-engineers"/><summary>Explore the critical roles of AI Champions, Architects, and Verification Engineers needed to govern vibe coding at scale. Learn how to balance AI speed with security and structure.</summary><updated>2026-06-06T06:09:31+00:00</updated><published>2026-06-06T06:09:31+00:00</published><category>Cybersecurity &amp; Governance</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Per-Token Pricing Explained: How LLM APIs Charge You in 2026</title><link href="https://tri-citylinks.com/per-token-pricing-explained-how-llm-apis-charge-you-in"/><summary>A clear guide to per-token pricing for LLM APIs. Learn how input vs output costs work, compare provider rates, and find tips to reduce your AI billing expenses.</summary><updated>2026-06-05T05:51:56+00:00</updated><published>2026-06-05T05:51:56+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Understanding Per-Token Pricing for Large Language Model APIs: A Cost Guide</title><link href="https://tri-citylinks.com/understanding-per-token-pricing-for-large-language-model-apis-a-cost-guide"/><summary>Learn how per-token pricing works for LLM APIs, why output costs more, and strategies to optimize your AI budget in 2026.</summary><updated>2026-06-05T05:51:56+00:00</updated><published>2026-06-05T05:51:56+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Accessibility in Generative AI: A Guide to Inclusive Design for All Users</title><link href="https://tri-citylinks.com/accessibility-in-generative-ai-a-guide-to-inclusive-design-for-all-users"/><summary>Learn how to build inclusive generative AI products by integrating accessibility from the start. Discover practical strategies, ethical considerations, and tools to ensure your AI serves all users effectively.</summary><updated>2026-06-04T05:54:37+00:00</updated><published>2026-06-04T05:54:37+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Refactoring Sprints for Vibe-Coded Apps: Scheduling and Scope</title><link href="https://tri-citylinks.com/refactoring-sprints-for-vibe-coded-apps-scheduling-and-scope"/><summary>Learn how to schedule and scope refactoring sprints for vibe-coded apps. Improve security, reduce technical debt, and maintain AI-generated code with practical strategies.</summary><updated>2026-06-03T06:08:32+00:00</updated><published>2026-06-03T06:08:32+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Vibe Coding Ethics: Who Is Responsible When AI Code Fails?</title><link href="https://tri-citylinks.com/vibe-coding-ethics-who-is-responsible-when-ai-code-fails"/><summary>Explore the ethical risks of vibe coding. Who is responsible when AI-generated code fails? Learn about security vulnerabilities, legal liabilities, and best practices for safe adoption.</summary><updated>2026-06-02T05:58:37+00:00</updated><published>2026-06-02T05:58:37+00:00</published><category>Cybersecurity &amp; Governance</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Scientific Workflows with Large Language Models: Hypotheses and Method Summaries</title><link href="https://tri-citylinks.com/scientific-workflows-with-large-language-models-hypotheses-and-method-summaries"/><summary>Explore how Scientific Large Language Models (Sci-LLMs) transform research workflows in 2026. Learn to generate hypotheses and summarize methods safely, avoiding common pitfalls like hallucinations and protocol errors.</summary><updated>2026-06-01T06:08:41+00:00</updated><published>2026-06-01T06:08:41+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Regional Adoption Patterns: How Regulation Shapes Vibe Coding Usage</title><link href="https://tri-citylinks.com/regional-adoption-patterns-how-regulation-shapes-vibe-coding-usage"/><summary>Explore how global regulations like the EU AI Act shape the adoption of vibe coding. Discover regional differences in AI-driven software development and learn practical strategies for compliance.</summary><updated>2026-05-31T05:51:48+00:00</updated><published>2026-05-31T05:51:48+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Multilingual LLMs: How Transfer Learning Bridges the Language Gap</title><link href="https://tri-citylinks.com/multilingual-llms-how-transfer-learning-bridges-the-language-gap"/><summary>Explore how multilingual LLMs use transfer learning to bridge the gap between high-resource languages like English and low-resource ones. We analyze performance disparities, top models like XLM-RoBERTa, and techniques like code-switching to overcome the 'curse of multilinguality.'</summary><updated>2026-05-30T06:03:00+00:00</updated><published>2026-05-30T06:03:00+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Monitoring Loss and Perplexity: Reading Signals During LLM Training</title><link href="https://tri-citylinks.com/monitoring-loss-and-perplexity-reading-signals-during-llm-training"/><summary>Learn how to interpret loss and perplexity metrics during LLM training. Understand the math, spot overfitting, and avoid common pitfalls in model evaluation.</summary><updated>2026-05-29T06:02:33+00:00</updated><published>2026-05-29T06:02:33+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Confidence and Uncertainty in Generative AI Outputs: Communicating Reliability</title><link href="https://tri-citylinks.com/confidence-and-uncertainty-in-generative-ai-outputs-communicating-reliability"/><summary>Explore why generative AI often hides its uncertainty, the risks of hallucination, and how visualizing confidence can restore user trust and critical thinking.</summary><updated>2026-05-28T05:52:04+00:00</updated><published>2026-05-28T05:52:04+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>How to Stop Proxy Discrimination in LLM Decision Systems</title><link href="https://tri-citylinks.com/how-to-stop-proxy-discrimination-in-llm-decision-systems"/><summary>Learn how to detect and prevent proxy discrimination in LLM systems using abductive explanations and continuous auditing strategies.</summary><updated>2026-05-27T06:14:22+00:00</updated><published>2026-05-27T06:14:22+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Playbooks for RAG, Agents, and Prompt Engineering at Scale</title><link href="https://tri-citylinks.com/playbooks-for-rag-agents-and-prompt-engineering-at-scale"/><summary>Learn how to build scalable AI systems using proven playbooks for RAG, agents, and prompt engineering. Discover strategies for separating prompts from knowledge bases, optimizing retrieval pipelines, and managing operational costs effectively.</summary><updated>2026-05-26T06:38:41+00:00</updated><published>2026-05-26T06:38:41+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Evaluation Protocols for Fine-Tuned Large Language Models: What to Measure</title><link href="https://tri-citylinks.com/evaluation-protocols-for-fine-tuned-large-language-models-what-to-measure"/><summary>Learn how to properly evaluate fine-tuned LLMs beyond simple accuracy. Discover why ROUGE falls short, how to use LLM-as-a-Judge effectively, and essential safety metrics for production.</summary><updated>2026-05-25T06:29:52+00:00</updated><published>2026-05-25T06:29:52+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Safety and Alignment Considerations During LLM Fine-Tuning: A Practical Guide</title><link href="https://tri-citylinks.com/safety-and-alignment-considerations-during-llm-fine-tuning-a-practical-guide"/><summary>Explore critical strategies for maintaining AI safety during LLM fine-tuning. Learn how techniques like SafeGrad, layer freezing, and dynamic monitoring prevent alignment loss and ensure secure model adaptation.</summary><updated>2026-05-24T06:29:15+00:00</updated><published>2026-05-24T06:29:15+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Measuring Developer Productivity with AI Coding Assistants: Throughput and Quality</title><link href="https://tri-citylinks.com/measuring-developer-productivity-with-ai-coding-assistants-throughput-and-quality"/><summary>Learn how to accurately measure developer productivity with AI coding assistants. Move beyond vanity metrics like acceptance rates and discover balanced frameworks that track both throughput and code quality for real ROI.</summary><updated>2026-05-23T05:51:36+00:00</updated><published>2026-05-23T05:51:36+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Executive Dashboards for Generative AI ROI: The Metrics Leaders Need to See</title><link href="https://tri-citylinks.com/executive-dashboards-for-generative-ai-roi-the-metrics-leaders-need-to-see"/><summary>Learn how to build executive dashboards for Generative AI ROI. Discover the three-tier metric framework, key KPIs for CFOs, and implementation steps to prove business value in 2026.</summary><updated>2026-05-22T06:01:36+00:00</updated><published>2026-05-22T06:01:36+00:00</published><category>Business Technology</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Scaling Laws in NLP: How Bigger Data and Models Created Modern LLMs</title><link href="https://tri-citylinks.com/scaling-laws-in-nlp-how-bigger-data-and-models-created-modern-llms"/><summary>Discover how scaling laws transformed AI from guesswork to engineering. Learn about Chinchilla scaling, power laws, and the shift to inference-time compute in modern LLMs.</summary><updated>2026-05-21T05:50:03+00:00</updated><published>2026-05-21T05:50:03+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Vibe Speccing: How AI-Generated Specs and Diagrams Stop Coding Chaos</title><link href="https://tri-citylinks.com/vibe-speccing-how-ai-generated-specs-and-diagrams-stop-coding-chaos"/><summary>Learn how vibe speccing uses AI-generated specs and diagrams to stop coding chaos. Discover the 4-phase workflow that reduces bugs and improves architectural fit.</summary><updated>2026-05-20T05:58:44+00:00</updated><published>2026-05-20T05:58:44+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Threat Modeling Vibe-Coded Apps: A Lightweight Workshop Guide for 2026</title><link href="https://tri-citylinks.com/threat-modeling-vibe-coded-apps-a-lightweight-workshop-guide-for"/><summary>A practical guide to threat modeling for vibe-coded applications. Learn how to secure AI-generated code against logic flaws, slopsquatting, and hidden APIs with lightweight workshops.</summary><updated>2026-05-19T06:14:07+00:00</updated><published>2026-05-19T06:14:07+00:00</published><category>Cybersecurity &amp; Governance</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>The Hidden Cost of Generative AI: Budgeting for Change Management, Training, and Process Redesign</title><link href="https://tri-citylinks.com/the-hidden-cost-of-generative-ai-budgeting-for-change-management-training-and-process-redesign"/><summary>Discover the true cost of generative AI adoption beyond software licenses. Learn how change management, training, and process redesign impact your budget and ROI, with actionable insights for 2026.</summary><updated>2026-05-18T05:53:21+00:00</updated><published>2026-05-18T05:53:21+00:00</published><category>Business Technology</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>The Hidden Cost of Generative AI: Training, Process Redesign, and Change Management</title><link href="https://tri-citylinks.com/the-hidden-cost-of-generative-ai-training-process-redesign-and-change-management"/><summary>Discover the true costs of generative AI adoption. Beyond software fees, change management, training, and process redesign account for up to 30% of budgets. Learn how to avoid the 85% failure rate with strategic planning.</summary><updated>2026-05-18T05:53:21+00:00</updated><published>2026-05-18T05:53:21+00:00</published><category>Business Technology</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Cut RAG Costs: Optimize Embeddings, Storage, and Context Budgets</title><link href="https://tri-citylinks.com/cut-rag-costs-optimize-embeddings-storage-and-context-budgets"/><summary>Discover how to cut RAG pipeline costs by optimizing LLM context budgets, embedding quantization, and vector storage. Learn why LLM inference dominates expenses and how to prioritize savings effectively.</summary><updated>2026-05-17T06:22:44+00:00</updated><published>2026-05-17T06:22:44+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Why Finance and Healthcare Lag in Vibe Coding Adoption: The Compliance Gap</title><link href="https://tri-citylinks.com/why-finance-and-healthcare-lag-in-vibe-coding-adoption-the-compliance-gap"/><summary>Vibe coding struggles in finance and healthcare due to strict regulatory requirements for traceability and audit trails. Learn why AI-assisted development lags in regulated sectors and how hybrid models offer a path forward.</summary><updated>2026-05-16T06:09:53+00:00</updated><published>2026-05-16T06:09:53+00:00</published><category>Cybersecurity &amp; Governance</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Sparse Mixture-of-Experts (MoE) AI: How to Scale Models Efficiently in 2026</title><link href="https://tri-citylinks.com/sparse-mixture-of-experts-moe-ai-how-to-scale-models-efficiently-in"/><summary>Discover how Sparse Mixture-of-Experts (MoE) architecture enables efficient scaling of generative AI models. Learn about Mixtral, gating mechanisms, and real-world benefits for 2026 deployments.</summary><updated>2026-05-15T06:34:47+00:00</updated><published>2026-05-15T06:34:47+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Secrets Scanning for AI-Generated Repos: Prevent Leaks by Default</title><link href="https://tri-citylinks.com/secrets-scanning-for-ai-generated-repos-prevent-leaks-by-default"/><summary>Discover how AI-generated code increases secret leakage risks and learn to prevent leaks by default using advanced secrets scanning tools like Netlify, GitGuardian, and TruffleHog.</summary><updated>2026-05-14T06:01:13+00:00</updated><published>2026-05-14T06:01:13+00:00</published><category>Cybersecurity &amp; Governance</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Third-Party Risk Management for Vendors Handling LLM Data: A Practical Guide</title><link href="https://tri-citylinks.com/third-party-risk-management-for-vendors-handling-llm-data-a-practical-guide"/><summary>Learn how to protect your proprietary data when using third-party vendors for LLM operations. Discover key risks, contractual safeguards, and technical controls needed for effective AI vendor risk management.</summary><updated>2026-05-13T06:36:53+00:00</updated><published>2026-05-13T06:36:53+00:00</published><category>Cybersecurity &amp; Governance</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Embeddings in Large Language Models: How Meaning Is Represented in Vector Space</title><link href="https://tri-citylinks.com/embeddings-in-large-language-models-how-meaning-is-represented-in-vector-space"/><summary>Explore how embeddings transform language into vector space, enabling AI to understand meaning. Learn about the evolution from Word2Vec to BERT, key applications in RAG and search, and future trends in multimodal AI.</summary><updated>2026-05-12T06:34:42+00:00</updated><published>2026-05-12T06:34:42+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Beyond BLEU and ROUGE: Semantic Metrics for LLM Output Quality</title><link href="https://tri-citylinks.com/beyond-bleu-and-rouge-semantic-metrics-for-llm-output-quality"/><summary>Traditional metrics like BLEU and ROUGE fail to evaluate modern LLMs because they penalize valid paraphrasing. Semantic metrics like BERTScore and BLEURT measure meaning over word overlap, correlating far better with human judgment despite higher computational costs.</summary><updated>2026-05-11T06:02:51+00:00</updated><published>2026-05-11T06:02:51+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Bias in Large Language Models: Sources, Measurement, and Mitigation</title><link href="https://tri-citylinks.com/bias-in-large-language-models-sources-measurement-and-mitigation"/><summary>Explore the sources, measurement, and mitigation of bias in Large Language Models. Learn about pro-AI bias, first-item bias, and new 2026 detection methods from MIT.</summary><updated>2026-05-10T05:53:04+00:00</updated><published>2026-05-10T05:53:04+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Bias in Large Language Models: Sources, Measurement, and Mitigation Strategies for 2026</title><link href="https://tri-citylinks.com/bias-in-large-language-models-sources-measurement-and-mitigation-strategies-for"/><summary>Explore the sources, measurement, and mitigation of bias in Large Language Models. Discover new 2026 findings on pro-AI bias, internal representation steering, and practical strategies for reducing algorithmic prejudice.</summary><updated>2026-05-10T05:53:04+00:00</updated><published>2026-05-10T05:53:04+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Generative AI ROI Case Studies: What Early Adopters Got Right (and Wrong)</title><link href="https://tri-citylinks.com/generative-ai-roi-case-studies-what-early-adopters-got-right-and-wrong"/><summary>Explore real-world case studies of Generative AI ROI from 2025-2026. Learn how companies like Coca-Cola and Klarna achieved success, avoid common pitfalls, and measure true value beyond hype.</summary><updated>2026-05-09T06:29:21+00:00</updated><published>2026-05-09T06:29:21+00:00</published><category>Artificial Intelligence</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry><entry><title>Strategic Benefits of Generative AI: Faster Decisions, Better Experiences, and Innovation</title><link href="https://tri-citylinks.com/strategic-benefits-of-generative-ai-faster-decisions-better-experiences-and-innovation"/><summary>Discover how Generative AI drives strategic ROI through faster decisions, hyper-personalized customer experiences, and breakthrough innovation. Learn key metrics and governance tips for 2026.</summary><updated>2026-05-08T06:33:35+00:00</updated><published>2026-05-08T06:33:35+00:00</published><category>Business Technology</category><author><name>Bekah Funning</name><uri>https://tri-citylinks.com/author/bekah-funning/</uri></author></entry></feed>