What is an LLM?
A plain-English tour of large language models and why they work.
Open to everyone, no account needed.
A plain-English tour of large language models and why they work.
The tasks assistants handle well, the ones they handle poorly, and a simple checking habit.
What belongs in a project, what to leave out, and how to share one safely.
The main types of add-on that give an assistant new abilities, and why they widen risk.
The problem MCP solves, what it is not, and where you are likely to meet it.
The benefits of defining infrastructure in files, the common pitfalls, and where to start.
How cloud geography works and who is responsible for what.