๐Ÿงญ Roadmap โ€บ 03 ยท Process Context Efficiently โ€บ Transformer โ€บ Decoder
โ† Transformer

Decoder

๐Ÿ”ด Core
Area03 ยท Process Context Efficiently
TopicTransformer
Topic priority๐Ÿ”ด MUST
Subtopic3 of 12
Study this using 8 phases
๐Ÿง  01 Understand

What is Decoder? Why does it exist? Where does it appear in Transformer?

๐Ÿ‘๏ธ 02 Visualize

Draw or describe a visual model of Decoder. What does it look like conceptually?

โœ๏ธ 03 Calculate

Work through a concrete manual example of Decoder with real numbers or pseudocode.

๐Ÿ’ป 04 Code

Implement Decoder from scratch in Python. Keep it minimal โ€” just enough to see it work.

๐Ÿ”ฌ 05 Experiment

Try Decoder on a real example. Vary the inputs and observe what changes.

โš–๏ธ 06 Compare

How is Decoder different from related concepts in Transformer? What are the trade-offs?

๐Ÿ—ฃ๏ธ 07 Explain

Explain Decoder in plain language using an analogy. Could a non-expert follow it?

๐Ÿ”จ 08 Build

Build a small project or demo that uses Decoder as a core component.

โ† Encoder Encoder Block โ†’
๐Ÿงช
RASL Pull ยท S-05 Pulled because: why does train.py diverge without residuals?
๐Ÿ”จ M-05 transformer.py ๐Ÿ” residual pattern โ†’ execution checkpointing โ†’ return to tiny_llm/transformer.py ๐Ÿ“‹ full plan โ†’
โ†‘ All subtopics in Transformer
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