#AI

Comparing two AI titans battling for your terminal—Claude's agentic coding specialist vs. Gemini's extensible ecosystem powerhouse

A technical guide to custom Claude Code slash commands for automated content review, AI image generation, and quality assurance

How graph-based representations are transforming language models beyond sequential text to unlock deeper reasoning capabilities

Learn the RATS pattern: Retrieval-Augmented Tool Selection for building scalable AI agents that dynamically select the right tools for each task.

AI assistants make starting projects effortless but finishing harder than ever. Explore the psychology and practical strategies to break the cycle.

Language models can write poetry but struggle with basic spelling. Discover why current tokenization breaks language—and how morphology-aware approaches fix it.

Exploring how Reinforcement Learning (RL) combined with Physics-Informed Machine Learning (PIML) can teach AI to design structurally sound and resilient buildings by learning from simulated physical environments.

A look at how I built an open-source acoustic horn design pipeline using Nextflow, FEniCSx, and AI development tools to overcome the limitations of legacy software.

Discover Meta MCP: LLMs that generate both UI and backend servers to interact persistently beyond simple request-response cycles.

Words aren't just symbols anymore—they're coordinates in high-dimensional space. Explore how vector embeddings revolutionized AI's understanding of language.

Exploring a new approach to AI language training that grounds language in physical interactions and leverages abstraction for deeper understanding.