Tri-City AI Links

Tri-City AI Links2026-05-08T06:33:35+00:00https://tri-citylinks.com/Bekah Funninghttps://tri-citylinks.com/author/bekah-funning/Strategic Benefits of Generative AI: Faster Decisions, Better Experiences, and Innovation

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.

2026-05-08T06:33:35+00:002026-05-08T06:33:35+00:00Business TechnologyBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Generative AI in Pharma: Optimizing Trial Design, Protocols, and Regulatory Writing

Discover how generative AI is transforming pharmaceutical trials by optimizing design, accelerating regulatory writing, and utilizing synthetic data to cut costs and timelines.

2026-05-07T05:56:12+00:002026-05-07T05:56:12+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Compliance Controls for Vibe-Coded Systems: SOC 2, ISO 27001, and More

Discover how to maintain SOC 2 and ISO 27001 compliance in AI-assisted development. Learn about vibe coding security controls, audit trails, and shift-left strategies for modern software.

2026-05-06T06:41:49+00:002026-05-06T06:41:49+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Chain-of-Thought in Vibe Coding: Why Explanations Beat Code First

Learn how Chain-of-Thought prompting transforms vibe coding by forcing AI to explain reasoning before writing code, reducing bugs and improving reliability.

2026-05-05T06:23:04+00:002026-05-05T06:23:04+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Calibrating Confidence in Large Language Models: Techniques and Metrics

Explore techniques to calibrate confidence in Large Language Models, addressing RLHF-induced overconfidence. Learn about UF Calibration, Thermometer, and LAcie methods to ensure AI reliability.

2026-05-04T06:04:31+00:002026-05-04T06:04:31+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Enterprise Vibe Coding: Integrating AI into Toolchains Safely in 2026

Explore how enterprise vibe coding integrates AI into existing toolchains safely. Learn about governance, security layers, and phased adoption strategies for 2026.

2026-05-03T06:07:48+00:002026-05-03T06:07:48+00:00Business TechnologyBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Temperature and Top-p in Large Language Models: Controlling Creativity and Precision

Learn how to control AI output using Temperature and Top-p parameters. Discover optimal settings for coding, creative writing, and factual tasks to balance precision and creativity.

2026-05-02T05:58:20+00:002026-05-02T05:58:20+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Compute Infrastructure for Generative AI: GPUs, TPUs, and Distributed Training

Explore the core compute infrastructure driving generative AI in 2026. We break down the technical differences between NVIDIA GPUs and Google TPUs, analyzing cost, performance, and distributed training strategies to help you choose the right hardware for your AI workload.

2026-05-01T06:06:10+00:002026-05-01T06:06:10+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Secrets Management for Vibe Coding: Stop Hardcoding API Keys

Learn how to secure vibe-coded projects by eliminating hardcoded API keys. Discover the best tools for secrets management, from .env files to cloud vaults.

2026-04-30T05:55:46+00:002026-04-30T05:55:46+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Pipeline Orchestration for Multimodal Generative AI: Preprocessors and Postprocessors

Learn how to orchestrate multimodal generative AI pipelines using preprocessors and postprocessors to sync text, image, and video data for maximum AI accuracy.

2026-04-28T06:14:53+00:002026-04-28T06:14:53+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Critique-and-Revise Prompting: How to Build Iterative Refinement Loops for AI

Master critique-and-revise prompting to turn AI drafts into polished, professional outputs using iterative refinement loops and self-correction techniques.

2026-04-27T06:19:23+00:002026-04-27T06:19:23+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Long-Context Prompt Design: How to Position Information for LLM Attention

Learn how to optimize LLM performance by mastering long-context prompt design. Discover the "Lost in the Middle" phenomenon and strategies to position critical info for maximum attention.

2026-04-26T06:03:13+00:002026-04-26T06:03:13+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Reasoning in Large Language Models: Mastering CoT, Self-Consistency, and Debate

Explore how Chain-of-Thought, Self-Consistency, and AI Debate are transforming LLMs from pattern-matchers into logical reasoners, including the limits of AI 'thinking'.

2026-04-25T06:24:44+00:002026-04-25T06:24:44+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/How Next-Word Prediction Works: Token Probability Distributions in LLMs

Learn how LLMs use token probability distributions, logits, and softmax to predict the next word. Explore sampling strategies like Top-P and Temperature to control AI creativity.

2026-04-24T06:02:26+00:002026-04-24T06:02:26+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Vibe Coding vs AI Pair Programming: Choosing the Right AI Workflow

Discover the difference between Vibe Coding and AI Pair Programming. Learn when to prioritize speed with vibe coding and when to ensure quality with AI pair programming.

2026-04-23T06:39:26+00:002026-04-23T06:39:26+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Grounding Prompts in Generative AI: How to Use RAG for Accurate AI Responses

Learn how grounding prompts and Retrieval-Augmented Generation (RAG) stop AI hallucinations and bring enterprise-grade accuracy to generative AI outputs.

2026-04-22T06:27:33+00:002026-04-22T06:27:33+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/A/B Testing Prompts in Generative AI: Experimentation Frameworks That Scale

Stop guessing and start measuring. Learn how to implement a scalable A/B testing framework for generative AI prompts to improve LLM performance with data.

2026-04-21T06:13:38+00:002026-04-21T06:13:38+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Economic Impact of Vibe Coding: Cost Curves and Competitive Dynamics

Explore the economic shift of vibe coding, where AI turns intent into software. Learn about the 80% drop in MVP costs and the risks of long-term technical debt.

2026-04-20T06:36:29+00:002026-04-20T06:36:29+00:00Business TechnologyBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Healthcare LLMs for Documentation and Triage: A Practical Guide

Explore how Large Language Models (LLMs) are transforming healthcare through automated clinical documentation and patient triage, including real-world accuracy and risks.

2026-04-19T06:40:05+00:002026-04-19T06:40:05+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Safety Use Cases for LLMs in Regulated Industries: A Practical Guide

Explore how Large Language Models (LLMs) enhance safety and compliance in regulated sectors like construction, nuclear, and defense through real-world use cases.

2026-04-18T06:01:59+00:002026-04-18T06:01:59+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Legal Review Steps for Vibe-Coded Features Handling Customer Data

Avoid million-euro fines with a rigorous legal review process for vibe-coded features. Learn the essential steps to secure customer data and ensure GDPR and CRA compliance.

2026-04-17T06:37:10+00:002026-04-17T06:37:10+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Self-Supervised Learning for Generative AI: Pretraining and Fine-Tuning Guide

Learn how Self-Supervised Learning (SSL) powers Generative AI, from the massive pretraining phase to the precise fine-tuning of models like GPT-4 and DALL-E.

2026-04-16T06:03:35+00:002026-04-16T06:03:35+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Rotary Position Embeddings (RoPE) vs ALiBi: Which LLM Positioning Method Wins?

Compare RoPE and ALiBi positional embeddings in LLMs. Learn how rotation matrices and linear biases solve the context window problem for models like Llama.

2026-04-15T06:30:06+00:002026-04-15T06:30:06+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/AI-Generated Code Test Coverage: Realistic Targets for 2026

Stop relying on the 80% rule. Learn why AI-generated code requires risk-adjusted test coverage targets and how to use mutation testing to prevent costly production bugs.

2026-04-14T05:57:09+00:002026-04-14T05:57:09+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Domain-Specialized Models for Code: When Fine-Tuning Beats General LLMs

Discover why domain-specialized AI models outperform general LLMs in coding, from lower hallucination rates to superior security and efficiency.

2026-04-13T06:01:54+00:002026-04-13T06:01:54+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Evaluating LLM Agents: Measuring Task Success, Safety, and Cost

Learn how to evaluate LLM agents using task success rates, safety audits, and cost-efficiency metrics to move beyond simple accuracy and ensure production reliability.

2026-04-12T06:00:05+00:002026-04-12T06:00:05+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Vibe Coding Use Cases: How AI-Generated Apps Are Transforming Industries

Explore how vibe coding is transforming software development across gaming, enterprise, and marketing through AI-powered natural language code generation.

2026-04-11T06:32:13+00:002026-04-11T06:32:13+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Zero-Shot vs Few-Shot Learning: When to Use Examples in LLMs

Learn the difference between zero-shot and few-shot learning in LLMs. Discover when to use examples to improve AI accuracy and how to choose the right approach for your project.

2026-04-10T06:02:41+00:002026-04-10T06:02:41+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Legal AI Safety: How to Avoid Hallucinations After Mata v. Avianca

Learn from the Mata v. Avianca disaster to build AI safety policies that prevent hallucinations and legal sanctions in professional workflows.

2026-04-09T06:00:09+00:002026-04-09T06:00:09+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/LLM Risk Management: Technical Controls and Escalation Paths for AI Governance

Learn how to manage LLM risks with dynamic controls, behavioral guardrails, and clear escalation paths to ensure AI governance and safety.

2026-04-08T06:23:24+00:002026-04-08T06:23:24+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Evaluating RAG Pipelines: Mastering Recall, Precision, and Faithfulness

Learn how to evaluate RAG pipelines using recall, precision, and faithfulness. Master the metrics needed to stop LLM hallucinations and improve retrieval quality.

2026-04-07T06:15:40+00:002026-04-07T06:15:40+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Debugging Prompts: Systematic Methods to Improve LLM Outputs

Learn systematic methods to debug and improve LLM outputs, from task decomposition and RAG to advanced mathematical steering and prompt chaining.

2026-04-06T06:13:42+00:002026-04-06T06:13:42+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Differential Privacy in LLM Training: Balancing Data Protection and Model Performance

Explore how Differential Privacy protects sensitive data in LLM training. Learn about DP-SGD, the epsilon-delta tradeoff, and how to balance privacy with model accuracy.

2026-04-05T05:58:40+00:002026-04-05T05:58:40+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/COPPA and Generative AI: Navigating Children's Data Privacy Rules

Learn how the 2025-2026 COPPA updates change data collection for Generative AI. Discover new rules on parental consent, biometrics, and data retention to avoid FTC penalties.

2026-04-04T05:56:42+00:002026-04-04T05:56:42+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/MoE Architectures: Balancing Cost and Quality in Large Language Models

Explore the trade-offs of Mixture-of-Experts (MoE) in LLMs. Learn how sparse activation reduces compute costs while increasing memory demands for better AI scale.

2026-04-04T01:02:19+00:002026-04-04T01:02:19+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Building PII Detection and Redaction Pipelines for LLMs

Learn how to build PII detection and redaction pipelines for LLMs using hybrid Regex/NER methods and tools like Microsoft Presidio to ensure data privacy.

2026-04-03T23:33:20+00:002026-04-03T23:33:20+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Multimodal Evolution in Generative AI: 3D, Haptics, and Sensor Fusion

Discover how AI is evolving from late fusion to unified architectures. We explore the rise of 3D, haptics, and sensor fusion in 2026.

2026-04-01T06:11:41+00:002026-04-01T06:11:41+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Bias in Generative AI: How Training Data, Selection, and Algorithmic Design Shape Outcomes

Explore how training data selection and algorithm design drive bias in generative AI. Learn about real-world impacts, mitigation techniques like the MIT method, and practical steps to reduce discrimination.

2026-03-31T06:26:22+00:002026-03-31T06:26:22+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Red Teaming Prompts for Generative AI: Finding Safety and Security Gaps

Learn how to identify and fix safety gaps in generative AI using red teaming strategies. Covers prompt injection, automation tools, and regulatory compliance.

2026-03-30T06:13:09+00:002026-03-30T06:13:09+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Risk and Controls for Generative AI: Policies, Approvals, and Monitoring Strategy

A comprehensive guide to managing risk and controls for generative AI in 2026. Covers NIST frameworks, ISO certifications, policy enforcement, and continuous monitoring strategies.

2026-03-29T06:35:43+00:002026-03-29T06:35:43+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Beyond CRUD: Vibe Coding Complex Distributed Systems

Explore how vibe coding transforms distributed systems development in 2026. Learn about AI tools, governance strategies, and real-world risks beyond simple CRUD apps.

2026-03-28T06:45:31+00:002026-03-28T06:45:31+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Mastering Dependency Management in Vibe-Coded Apps: Upgrade Safely

Learn how to manage software dependencies in AI-generated apps safely. Avoid breakage during upgrades with practical workflows, version pinning strategies, and audit techniques.

2026-03-27T05:56:49+00:002026-03-27T05:56:49+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Supervised Fine-Tuning for Large Language Models: A Practitioner’s Playbook

A practical guide to Supervised Fine-Tuning for LLMs. Learn data prep, tools like Hugging Face TRL, and avoid common pitfalls like catastrophic forgetting.

2026-03-26T06:48:40+00:002026-03-26T06:48:40+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Scaling Open-Source LLMs: Hardware, Serving Stacks, and Playbooks for 2026

Learn how to scale open-source LLMs in 2026 with the right hardware, serving stacks like vLLM, and a strategic playbook for enterprise deployment.

2026-03-25T07:47:32+00:002026-03-25T07:47:32+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Ensembling Generative AI Models: How Cross-Checking Outputs Cuts Hallucinations by Up to 70%

Ensembling generative AI models by cross-checking outputs reduces hallucinations by up to 70%. Learn how combining multiple LLMs cuts errors in healthcare, finance, and legal applications - and when it’s worth the cost.

2026-03-24T05:53:22+00:002026-03-24T05:53:22+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Data Strategy for Generative AI: Build Quality, Control Access, and Secure Your Inputs

A strong data strategy for generative AI focuses on quality, access, and security. Without it, AI hallucinates, leaks data, and fails to deliver value. Learn what works-and what doesn't.

2026-03-23T05:57:02+00:002026-03-23T05:57:02+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/The Future Developer Role: Architecture, Security, and Judgment Over Syntax

By 2026, developers are no longer judged by how much code they write, but by how well they design systems, enforce security, and make smart trade-offs. AI handles the syntax-humans handle the strategy.

2026-03-22T06:08:02+00:002026-03-22T06:08:02+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Choosing Model Families for Scalable LLM Programs: Practical Guidance

In 2026, choosing the right LLM family for scalable AI means matching cost, context, and control to your specific use case-not just picking the most powerful model. Learn how GPT-4o, Llama 4, Gemini, and Claude 3 compare for real-world scaling.

2026-03-20T05:56:16+00:002026-03-20T05:56:16+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Diffusion Models in Generative AI: How Noise Removal Creates Photorealistic Images

Diffusion models create photorealistic images by reversing a noise-adding process, step by step. Unlike older AI methods, they produce detailed, coherent visuals with fewer glitches - powering tools like Stable Diffusion and DALL-E. Here’s how noise removal made this possible.

2026-03-18T06:10:40+00:002026-03-18T06:10:40+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/How Prompt Templates Reduce Waste in Large Language Model Usage

Prompt templates cut LLM waste by up to 85% by reducing token usage and energy consumption. Learn how structured prompts lower costs, improve accuracy, and make AI more sustainable without changing models.

2026-03-17T05:52:50+00:002026-03-17T05:52:50+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/