AI Tutorials
Practical AI development tutorials
Articles
Before Full Agentic RAG: Know How You Decide, and the Parsing⭐9
Before full agentic RAG, control parsing choices with an explicit dispatcher: plan, execute, and log each method for transparent, validated enterprise retrieval...
Backpropagation Explained for Beginners (Part 3): How⭐9
Learn how backpropagation really works in neural networks, explained simply with chain rule gradients, shared derivatives, and step-by-step examples for beginne...
Building Multimodal Workflows with a Local LLM⭐10
Build a multimodal LLM workflow with Gemma 4 on Ollama to analyze photos locally, transforming images into structured, searchable records for privacy-focused ap...
How to Place Vertiport Locations in Any City Using Geospatial⭐10
Use geospatial ML to place vertiports in any city, combining population data with screening rules for safer, optimized air taxi hub locations.
Product Experimentation at Scale: How Airbnb, Netflix, Lyft, and⭐7
How Airbnb, Netflix, Lyft, and Uber use causal inference to measure LLM feature impact at scale—revealing key techniques and pitfalls.
Should AI Developers Make the Switch from Polars to Pandas?⭐10
Explore the key differences between Pandas and Polars for AI development, including performance, design philosophy, and when to switch.
The Budget Split That Explains Itself⭐10
The split explained: why one optimization rule quietly inflates budget cost — and the modeling choice that hides it.
Can a Local LLM Run My AI Assistant? A 27-Task Replay Test⭐10
Can a local LLM power an AI assistant? A 27-task replay test found a 3×RTX 3090 setup with a 122B model scored 80/100—787× cheaper than Claude.
Product Experimentation with Doubly Robust Estimation: When Both⭐8
When both your propensity and outcome models are wrong, doubly robust estimation keeps LLM experiment results consistent—if at least one model holds.
How to Get Your Side Project Seen and Gain Paying Users⭐10
Discover proven strategies to market your side project, attract paying users, and turn attention into revenue with actionable funnel insights.