Advanced
7 stories tagged Advanced on Learning Fanatic.
- Lesson 5.3: Grounding, citations and long documents Learn to tie answers to supplied text with checkable citations, test what a prompt does when the answer is missing, and handle very long documents.
- Lesson 5.4: Structured outputs, tools and agent instructions Learn to get output that software can read, describe tools so a model uses them correctly, and write agent instructions with limits, checks and approval points.
- Lesson 6.1: Making results consistent from run to run Learn why one prompt gives different answers, how to measure the variation, and the levers and regression checks that keep results steady.
- Lesson 6.2: Prompt injection and untrusted input Learn how text a model reads can carry hidden orders, which setups put you at risk, and the layered defences and tests that limit the damage.
- Lesson 6.3: Privacy, bias and responsible use of AI at work Learn what data not to paste, how to test a prompt for unequal treatment, and a practical rulebook for human oversight, disclosure and accountability.
- Lesson 5.1: Testing and comparing prompts with rubrics and test sets Learn to build a small test set, score outputs with a rubric, use a model as a grader carefully, and tell whether one prompt really beats another.
- Lesson 5.2: Choosing and comparing models for your task Learn to compare models on your own task by quality, cost, speed and risk, work out cost per outcome, and route easy work to cheaper models.