Beginner
30 stories tagged Beginner on Learning Fanatic.
- Lesson 2.3: Temperature and sampling explained Temperature decides how adventurous a model's word choices are. Move the slider to see the probabilities reshape, and learn which setting fits which task.
- Lesson 3.1: Prompts, system messages and parameters How to talk to a model through an API: the system message, the user message, examples and the settings that shape the reply. With a worked prompt you can adapt.
- Lesson 1.1: What an AI engineer actually builds An AI engineer builds products on top of existing language models rather than training them. Learn what the job covers and how it differs from data science.
- Lesson 2.1: Tokens and context windows explained Language models read tokens, not words, and can only hold so many at once. Learn what tokens are, how to estimate them, and why the context window matters.
- Lesson 2.2: How a model predicts the next token A language model works by predicting one token at a time. Understand probabilities, why answers vary, and why fluent text is not the same as true text.
- Lesson 1.1: What a forward deployed engineer does A forward deployed engineer turns a customer's vague problem into software running in their own systems. Learn the role, the loop and the trade-offs.