Tri-City AI Links

Tri-City AI Links2026-08-07T05:52:23+00:00https://tri-citylinks.com/Bekah Funninghttps://tri-citylinks.com/author/bekah-funning/Scheduling Strategies to Maximize Utilization During LLM Scaling: A Practical Guide

Learn how advanced scheduling strategies like continuous batching and vLLM maximize GPU utilization during LLM scaling, reducing costs by up to 87% and boosting throughput.

2026-08-07T05:52:23+00:002026-08-07T05:52:23+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Model Lifecycle Management: Mastering Versioning, Deprecation, and Sunset Policies

Master model lifecycle management with robust versioning, deprecation, and sunset policies. Learn how to govern AI models effectively, ensure compliance, and reduce production incidents.

2026-08-06T05:55:10+00:002026-08-06T05:55:10+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Building an Evaluation Culture for LLM Teams: A Practical Guide

Learn how to build a robust evaluation culture for LLM teams. Discover key metrics, tools like DeepEval and Azure AI Foundry, and strategies for cultural alignment to ensure safe, accurate, and compliant AI deployments.

2026-08-05T05:59:57+00:002026-08-05T05:59:57+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Calibrating Confidence in Non-English LLM Outputs: A Practical Guide

Explore why non-English LLM outputs are often overconfident and how to fix it. Learn about UF Calibration, multicalibration, and fairness metrics to ensure reliable AI across all languages.

2026-08-03T06:00:18+00:002026-08-03T06:00:18+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Fixing Insecure AI Patterns: Sanitization, Encoding, and Least Privilege

Learn how to fix insecure AI patterns using sanitization, context-aware encoding, and least privilege principles to prevent LLM vulnerabilities like prompt injection and data leakage.

2026-08-02T06:00:40+00:002026-08-02T06:00:40+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Vibe Coding Security: What Buyers Must Assess Before Adopting AI Tools

Explore the security risks of vibe coding platforms. Learn why static analysis fails against AI-generated code and what buyers must assess to protect their software supply chain.

2026-08-01T06:02:24+00:002026-08-01T06:02:24+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Image-to-Text in Generative AI: How Alt Text and Descriptions Boost Accessibility

Explore how generative AI transforms image-to-text conversion for better web accessibility. Learn about CLIP, BLIP, and the pros and cons of automated alt text.

2026-07-31T05:51:55+00:002026-07-31T05:51:55+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Code Generation with Large Language Models: Capabilities, Risks, and Security in 2026

Explore the 2026 landscape of LLM code generation, comparing top models like GPT-5.2 and Gemini 3 Pro. Learn about security risks, best practices, and the rise of autonomous coding agents.

2026-07-30T05:59:47+00:002026-07-30T05:59:47+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Autonomous Agents Built on Large Language Models: Capabilities and Limits

Explore the real capabilities and limits of autonomous agents built on LLMs in 2026. Learn what they can do, where they fail, and how to implement them safely.

2026-07-29T06:03:13+00:002026-07-29T06:03:13+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Third-Party Risk in Generative AI: Vendor Assessments and Shared Responsibility

Explore how to manage third-party risk in generative AI through effective vendor assessments and a shared responsibility model. Learn practical strategies for securing your AI supply chain.

2026-07-28T05:54:50+00:002026-07-28T05:54:50+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Designing Multimodal Generative AI: Input Strategies and Output Formats

Explore how to design multimodal generative AI applications. Learn input strategies for mixing text, images, and audio, and master output formats like JSON and video for robust, context-aware systems.

2026-07-27T05:57:51+00:002026-07-27T05:57:51+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Vibe Coding for Boards: Strategic Risks, Adoption Data, and 2026 Governance

A board-level analysis of vibe coding's strategic risks, adoption trends, and governance needs for 2026.

2026-07-26T05:57:58+00:002026-07-26T05:57:58+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Hardware-Friendly LLM Compression: Aligning with GPU and CPU Capabilities

Learn how hardware-friendly LLM compression aligns with GPU and CPU capabilities. Explore quantization, sparsity, and tools like vLLM to deploy large models efficiently on consumer hardware.

2026-07-25T05:57:08+00:002026-07-25T05:57:08+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Public Sector Generative AI Policies: Procurement, Transparency, and Accountability in 2026

Explore the 2026 landscape of public sector generative AI policies, covering procurement rules, transparency mandates, and accountability measures under new executive orders and state frameworks.

2026-07-24T05:54:15+00:002026-07-24T05:54:15+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/State-Level Generative AI Laws in the US: California, Colorado, Illinois, and Utah

A breakdown of generative AI laws in California, Colorado, Illinois, and Utah. Learn about key regulations like CA's Transparency Act, IL's deepfake bans, and compliance costs for 2026.

2026-07-23T06:02:52+00:002026-07-23T06:02:52+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Bias in Large Language Models: Sources, Types, and Real-World Risks Explained

Explore the hidden sources of bias in Large Language Models, from training data imbalances to architectural flaws like position bias. Learn how these biases impact hiring and healthcare, and discover practical mitigation strategies.

2026-07-22T05:53:09+00:002026-07-22T05:53:09+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Parallel Transformer Decoding Strategies for Low-Latency LLM Responses

Explore parallel transformer decoding strategies like Skeleton-of-Thought and FocusLLM that cut LLM latency by up to 50%. Learn how these methods work, their trade-offs, and which one fits your app.

2026-07-21T06:04:16+00:002026-07-21T06:04:16+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Retrieval-Aware Transformers: How Native RAG Architectures Fix LLM Hallucinations

Explore how Retrieval-Aware Transformers natively integrate RAG to fix LLM hallucinations. Learn about architectural shifts, vector databases, and why native integration beats post-hoc RAG.

2026-07-20T07:02:36+00:002026-07-20T07:02:36+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Knowledge Management with Generative AI: Answer Engines over Enterprise Documents

Discover how generative AI transforms enterprise knowledge management into intelligent answer engines. Learn about RAG, implementation challenges, and real-world ROI.

2026-07-19T06:17:19+00:002026-07-19T06:17:19+00:00Business TechnologyBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Scaling Multilingual LLMs: Mastering Data Balance and Coverage

Discover how optimal data balance and scaling laws revolutionize multilingual LLM training. Learn why proportional sampling fails and how new strategies improve low-resource language performance by up to 95%.

2026-07-18T06:03:18+00:002026-07-18T06:03:18+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/How RLHF Aligns Large Language Models for Safety: A Practical Guide

Explore how Reinforcement Learning from Human Feedback (RLHF) aligns large language models for safety. Learn the three-stage pipeline, risks like reward hacking, and modern alternatives like Constitutional AI.

2026-07-17T06:19:38+00:002026-07-17T06:19:38+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Compliance Workflows with Generative AI: Policy Drafting and Control Mapping

Discover how generative AI transforms compliance workflows, cutting policy drafting time by 70% and improving control mapping accuracy. Learn implementation strategies, costs, and risks for 2026.

2026-07-16T06:04:43+00:002026-07-16T06:04:43+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/How to Structure Generative AI Outputs into JSON and Tables: A Practical Guide

Learn how to craft effective data extraction prompts for Generative AI. This guide covers structuring outputs into JSON and tables, avoiding common pitfalls, and implementing validation for accurate results.

2026-07-15T06:11:10+00:002026-07-15T06:11:10+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Vibe Coding Explained: Who Can Build Software Now in 2026

Discover how vibe coding democratizes software development by allowing anyone to build apps using natural language. Learn who can benefit, the risks involved, and how to get started in 2026.

2026-07-14T05:53:25+00:002026-07-14T05:53:25+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/The Future of Generative AI: Agentic Systems, Lower Costs, and Better Grounding

Explore the 2026 trajectory of Generative AI: the rise of autonomous agentic systems, cost reductions via synthetic data, and enhanced accuracy through RAG grounding.

2026-07-13T06:16:28+00:002026-07-13T06:16:28+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Compress or Switch? A Practical Guide to Optimizing LLM Systems

Decide whether to compress or switch your LLM. Learn when quantization saves money and when switching to smaller models prevents performance loss.

2026-07-12T06:21:26+00:002026-07-12T06:21:26+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Key, Query, and Value Projections in LLM Attention: What the Matrices Learn

Explore how Key, Query, and Value matrices power LLM attention. We break down the math, the database analogy, and what these projections actually learn during training.

2026-07-11T06:04:12+00:002026-07-11T06:04:12+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/How Multimodal LLMs Understand Speech and Audio in 2026

Explore how Multimodal LLMs achieve speech and audio understanding in 2026. Learn about spectrogram processing, SALM architectures, and real-world performance benchmarks.

2026-07-10T06:37:27+00:002026-07-10T06:37:27+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Transformer Efficiency Tricks: KV Caching and Continuous Batching in LLM Serving

Learn how KV caching and continuous batching optimize LLM serving. Explore memory trade-offs, vLLM implementation, and compression techniques like NVFP4 for faster inference.

2026-07-09T05:54:06+00:002026-07-09T05:54:06+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Zero-Trust Architecture for Large Language Model Integrations: A Security Guide

Learn how to secure AI with Zero-Trust Architecture for LLMs. Discover guardrails, sentinel systems, and data protection strategies to prevent breaches and ensure compliance.

2026-07-08T06:00:57+00:002026-07-08T06:00:57+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Error Analysis for Prompts in Generative AI: Diagnosing Failures and Fixes

Stop guessing why your AI fails. Learn systematic error analysis to diagnose prompt failures, reduce hallucinations by up to 60%, and build reliable generative AI systems with proven metrics.

2026-07-07T06:11:49+00:002026-07-07T06:11:49+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Modularizing AI-Generated Logic: Extract, Isolate, and Simplify

Learn how to improve AI maintainability by modularizing logic. Discover strategies to extract, isolate, and simplify AI systems using MRKL and neuro-symbolic approaches for better reliability.

2026-07-06T05:55:04+00:002026-07-06T05:55:04+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Healthcare Vibe Coding: Safe Prototyping Without PHI in 2026

Explore how vibe coding enables healthcare professionals to build safe prototypes without exposing PHI. Learn about AI tools, compliance strategies, and real-world implementation tips for 2026.

2026-07-05T06:17:46+00:002026-07-05T06:17:46+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Sandboxing LLM Agents: How to Guard Tool Access and Prevent Data Leaks

Learn how to sandbox LLM agents using Firecracker, gVisor, and Nix to prevent data leaks and prompt injection attacks.

2026-07-04T06:11:22+00:002026-07-04T06:11:22+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/User Education on LLM Limitations: Setting Expectations Responsibly

Learn how to set realistic expectations for Large Language Models. We cover hallucinations, bias, and practical steps to educate users on safe and responsible AI use in 2026.

2026-07-03T07:50:10+00:002026-07-03T07:50:10+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Curriculum Learning in NLP: How Ordering Data Builds Better LLMs

Discover how Curriculum Learning transforms NLP training by ordering data from easy to hard. Learn why this human-inspired approach cuts costs, boosts accuracy, and builds better Large Language Models.

2026-07-02T06:37:11+00:002026-07-02T06:37:11+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/How AI High Performers Capture Value: Workflow Redesign and Scaling Strategies

Discover why 95% of AI pilots fail and how the top 5% capture value through workflow redesign, RAG implementation, and strategic scaling.

2026-07-01T06:21:58+00:002026-07-01T06:21:58+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Human-Centered AI Coding: How to Keep Humans in Control of Critical Systems

Explore human-centered AI coding practices for 2026. Learn how HITL architectures, NIST standards, and explainability layers keep humans in control of critical systems in healthcare and finance.

2026-06-30T06:01:24+00:002026-06-30T06:01:24+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Public Sector and Generative AI: Transforming Citizen Services, Policy Drafting, and Records

Explore how generative AI is transforming the public sector in 2026. Learn how governments use AI for citizen services, policy drafting, and records management to improve efficiency and accessibility.

2026-06-29T05:53:50+00:002026-06-29T05:53:50+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/MMLU Benchmark Explained: What It Measures, Its Flaws, and Why Models Hit a Ceiling

Explore the MMLU benchmark: its history, what it measures in LLMs, and why it fails to capture reasoning and safety. Learn about MMLU-Pro and data contamination risks.

2026-06-28T06:29:00+00:002026-06-28T06:29:00+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Data Classification Rules for Vibe Coding Inputs and Outputs: A Governance Guide

Learn how to secure AI-generated code with data classification rules. Explore tiered governance frameworks, PII handling, and secret management for vibe coding.

2026-06-27T06:31:41+00:002026-06-27T06:31:41+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Exact, Fuzzy, and Semantic Deduplication for LLM Training Data

Learn how exact, fuzzy, and semantic deduplication strategies clean LLM training data. Discover tools like MinHash LSH and SoftDedup to boost model efficiency and accuracy.

2026-06-26T06:07:22+00:002026-06-26T06:07:22+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Debiasing Through Fine-Tuning: Approaches for Safer Large Language Models

Explore how fine-tuning reduces bias in LLMs while balancing safety risks. Learn about LoRA, regularized methods, and real-world implementation strategies for safer AI.

2026-06-25T06:08:05+00:002026-06-25T06:08:05+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Architectural Innovations Powering Modern Generative AI Systems

Explore how architectural innovations like Mixture-of-Experts and system-level intelligence are transforming generative AI, reducing costs by 72%, and enabling faster, more reliable AI systems in 2026.

2026-06-24T05:53:43+00:002026-06-24T05:53:43+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Transformers, Diffusion Models, and GANs: The Core Tech Behind Generative AI

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.

2026-06-23T05:57:13+00:002026-06-23T05:57:13+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Model Denial-of-Service Attacks on LLM APIs: Prevention and Resilience

Learn how to prevent Model Denial-of-Service attacks on LLM APIs. Discover detection methods, safeguard exploitation risks, and resilience strategies for 2026.

2026-06-22T06:23:40+00:002026-06-22T06:23:40+00:00Cybersecurity & GovernanceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Cost-Aware Scheduling for LLM Workloads: A Practical Guide to Saving Money and Meeting SLAs

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.

2026-06-21T05:59:27+00:002026-06-21T05:59:27+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Generative AI Careers: Top Roles, Curricula, and Certifications for 2026

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.

2026-06-20T06:04:15+00:002026-06-20T06:04:15+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/Customizing LLMs: Fine-Tuning, Adapters (LoRA), and Prompts Explained

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.

2026-06-19T06:06:25+00:002026-06-19T06:06:25+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/How to Make LLMs Self-Correct: Error Messages and Feedback Prompts That Work

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%.

2026-06-18T05:54:16+00:002026-06-18T05:54:16+00:00Artificial IntelligenceBekah Funninghttps://tri-citylinks.com/author/bekah-funning/