Model Distillation: When You Do It vs When We Do It
Distillation just went from standard ML technique to geopolitical flashpoint. Here's how to actually do it - plus the legal traps nobody warns you about.
Free tutorials to help you master AI tools and techniques.
Distillation just went from standard ML technique to geopolitical flashpoint. Here's how to actually do it - plus the legal traps nobody warns you about.
Claude reads 200K tokens but writes 4K at a time. That's 500 pages of input, 3 pages of output. Here's what actually limits long-form generation - and 3 fixes that work.
Fine-tuning teaches your model new behavior, not new facts. Here's when it actually works - and the 3 critical mistakes that waste your training budget.
Anthropic just accused DeepSeek, Moonshot, and MiniMax of running 24,000 fake accounts to copy Claude. The real story? This isn't about theft - it's about the new security war every API provider is about to fight.
Inpainting works, but there's a faster fix most tutorials skip. Here's the method that actually saves time - plus the 3 settings that make or break your results.
Upload a room photo, pick a style, wait 30 seconds - and get a design you can't use. Here's the detail check every tutorial skips, plus 3 tools tested on real rooms.
Moltbook launched with 1.6M AI bots posting to each other. Reddit moderators say AI content doubled in a year. Here's how to tell if you're actually talking to a human.
Most keyword tools tell you what's already popular. These AI-powered platforms find the gaps your competitors miss - plus the pricing traps nobody warns you about.
Discover which AI research tools actually deliver on their promises. From Elicit's 80% time savings claim to hidden database limitations, here's what works in 2026.
Anthropic just accused DeepSeek, Moonshot, and MiniMax of running 24,000 fake accounts to extract Claude's AI capabilities. Here's what actually happened.
Most tutorials promise fully automated code migrations. Reality: Google's AI toolkit wrote 74% of migration code but engineers still spent half their time validating, fixing context window failures, and debugging hallucinations.
AI didn't kill software engineering. It created two career tracks: one thriving, one shrinking. Here's which side you're on - and how to switch if you're not.