Prompting & Structured Output

Context construction, decoding parameters, constrained generation and schema-valid output every time.

Module 06.3 · Intermediate
Free

6h · 6 lessons · 1 challenge

Before this: Tokenization & Embeddings

About this module

Prompting treated as engineering: what goes in the context window and in what order, what the decoding parameters actually do to the distribution, and how to constrain generation so downstream parsers never see malformed output.

Short module, and the one whose techniques you will use most often day to day.

After this module you can

6 lessons

Lesson 1
The context window as an engineering resource
Kind
Concept
Length
45 min
Lesson 2
Decoding: temperature, top-k, top-p, penalties
Kind
Concept
Length
50 min
Lesson 3
Structured output and constrained decoding
Kind
Concept
Length
50 min
Lesson 4
Prompt regression testing
Kind
Lab
Length
70 min
Lesson 5
Decode Dial: tune the sampler to the task
Kind
Interactive
Length
30 min
Lesson 6
Checkpoint: prompt and parameters
Kind
Checkpoint
Length
20 min

The challenge: Decode Dial

The same prompt under twenty sampler settings. Match each output to the settings that produced it.

Worth 350 XP.

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