Dimension.Know how it works.
In-depth handbooks on building AI systems and software that hold up in production, with news from the Academy.
Upskilling
Learning by Building Small Things in Public
A small project shows where your understanding ends. Sharing it adds the feedback a course cannot give.
Cybersecurity
Threat Modeling an LLM Application
Start with what the application can read, write and call. Most risks follow from those three capabilities.
Careers
A Portfolio That Shows Judgment, Not Only Output
A finished project tells a reviewer what you made. A short note on the decisions behind it tells them how you think.
AI Models
Temperature and Sampling: Controlling Variation, Not Truth
Lowering temperature makes answers more repeatable. It does not make them more correct.
Upskilling
How to Read a Research Paper Without Drowning
A paper has a structure that can be read in passes. The first pass tells you whether to continue; later passes build the understanding.
Cybersecurity
Red Teaming an AI System: What to Test First
Testing an AI feature for misuse starts with the actions it can take and the data it can reach, not with clever prompts alone.
Careers
Explaining a System From the Ground Up in an Interview
Interviewers can tell whether you understand a system by how you start. Starting from the data and constraints beats starting from the diagram.
AI Models
Why Models Make Things Up, and What Reduces It
A model is built to produce plausible text. Without grounding, plausible text can be wrong. Several practical measures reduce that risk.
Upskilling
Spaced Repetition for Technical Concepts
Ideas revisited at increasing intervals stay available when you need them. It suits definitions, and it suits reasoning you rehearse even better.
Cybersecurity
The SOC Analyst's Work When Triage Is Automated
Automation takes the first pass at alerts. Analysts move toward judgment, detection tuning and investigations that no rule covers.
Careers
Your First Role in AI: What Hiring Teams Look For
Teams hiring early-career people for AI work look for evidence that you can work through a problem, not a list of completed courses.
AI Models
Retrieval or Fine-Tuning: How a Model Should Learn Your Material
Many teams that think they need fine-tuning need retrieval first. The difference comes down to whether the knowledge changes and what behavior you need.
