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News
The Accuracy Paradox: Why Your Deep Learning Model Lies to You (and How to Fix It)
2+ hour, 29+ min ago (222+ words) Imagine building an AI system that boasts an impressive 77.16% mean accuracy. You pull the trigger, deploy it to a production pipeline, and confidently assume it’s filtering out junk while surfacing…...
9 AI Engineering Rules I Wish I Knew Before Shipping My First Agent
6+ hour, 21+ min ago (36+ words) The practical lessons that helped me go from building AI demos to engineering systems I could actually trust. A $47,000 AI mistake …...
But Seriously… Can Someone From Product Become a Machine Learning Engineer?
7+ hour, 39+ min ago (1000+ words) One question comes up again and again: Can someone really transition into data science or machine learning without coming from a traditional technical background? It is a fair question. The machine learning industry can feel intimidating. Researchers publish papers, engineers…...
LLM vs GPT: The Difference I Wish Someone Had Explained to Me Sooner
7+ hour, 40+ min ago (246+ words) A few months ago, someone asked me a question that stopped me cold. “So is GPT the same thing as an LLM, or not?” I opened my mouth to answer and realized I didn’t actually know. I’d been throwing around…...
TokenPrint: An Open-Source 3D Visual Debugger for LLMs and Transformers
9+ hour, 7+ min ago (765+ words) I Built TokenPrint: A 3D Visual Debugger for LLMs and Transformers Large language models are becoming increasingly powerful …...
The AI Productivity Trap Why Using More AI Tools Can Make You Less Productive
9+ hour, 33+ min ago (33+ words) You didn’t get lazier. Your toolkit got louder than your thinking. Open your laptop right now and count your …...
Tokenization Is Not a Preprocessing Step. It’s a System Design Decision.
10+ hour, 30+ min ago (281+ words) Introduction At some point almost every LLM engineer hits one of these: A “128k context window” model runs out of …...
Designing Effective Harnesses for AI Agents: From Impressive Demos to Reliable Systems
12+ hour, 47+ min ago (1349+ words) AI agents are getting more powerful every day. We can now build an agent that reads information, calls APIs, uses tools, makes decisions, and completes tasks with very little human involvement. A simple mental model for this looks like: LLM…...
The Real Leap of Transformers Is Learning How to Represent Context
17+ hour, 22+ min ago (1416+ words) Why next-token prediction became dramatically more powerful when language models learned the space in which probability is estimated Large Language Models are often described, correctly, as systems trained to predict the next token. Taken on its own, however, this description…...
If your system is too efficient, something has gone wrong
23+ hour, 9+ min ago (318+ words) Or why the most problematic system isn’t one that breaks, it’s one that works better than expected Every system optimises for something …...