Tri-City AI Links
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
