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