Future of Work9 min read
How AI Is Quietly Rewriting Customer Support
The practical reality of AI in customer support: what works, what fails, and how teams are implementing it without alienating customers.
Blog — Page 26
AI Ethics & Society7 min read
The Copyright Mess: Where AI Training Data Stands in 2026
A clear overview of the legal landscape around AI training data, ongoing lawsuits, and what practitioners need to know.
Machine Learning Explained10 min read
Fine-Tuning vs RAG vs Prompting: Which Do You Actually Need?
A decision framework for choosing between fine-tuning, RAG, and prompt engineering based on your specific use case and constraints.
Machine Learning Explained8 min read
Multimodal AI: What It Means When a Model Sees, Hears, and Speaks
An explanation of multimodal AI systems that process text, images, audio, and video, with practical applications and limitations.
Tutorials & How-Tos9 min read
Building Your First AI-Powered Side Project This Weekend
A step-by-step guide to building a useful AI application in a weekend, from idea selection to deployment.
Machine Learning Explained12 min read
Vector Databases Explained Without the Hype
A practical explanation of vector databases: what they are, when you need one, and how to choose between the options available.
Machine Learning Explained8 min read
Evaluating AI Models: A Practical Framework Beyond Benchmarks
A practical framework for evaluating AI models on your specific task. Covers building evaluation datasets, production metrics that matter, and when to trust LLM-as-judge.
Future of Work13 min read
AI in the Workplace: A Realistic Look at What Changes by 2027
A grounded analysis of how AI will reshape work over the next year, based on current adoption patterns rather than speculation.