๐Ÿงญ Roadmap โ€บ 04 ยท Build Language Models โ€บ Generation
04 ยท Build Language Models

Generation

How models produce text โ€” sampling, temperature, decoding

๐Ÿ”ด MUST
๐Ÿง  Understand๐Ÿ‘๏ธ Visualizeโœ๏ธ Calculate๐Ÿ’ป Code๐Ÿ”ฌ Experiment๐Ÿ—ฃ๏ธ Explain
8 subtopics โ€” click to study
Logits ๐Ÿ”ด Probabilities ๐Ÿ”ด Greedy Decoding ๐ŸŸก Sampling ๐Ÿ”ด Temperature ๐Ÿ”ด Top-K ๐ŸŸก Top-P ๐ŸŸก Stop Conditions ๐ŸŸก
๐Ÿงช
RASL Pull ยท Sprint S-06 โญ Transition โ€” Parallel Learning
You're reading this because RASL is blocked on: when should the recovery_policy stop retrying โ€” what does a principled stopping condition look like?
Stop conditions and EOS token handling in generation are the conceptual blueprint for RASL's safe-stop policy. "Stop generating when done" = "stop retrying when evidence stops improving." Same policy, different scale. Return to reliable-agent-lab/agent/recovery_policy.py and continue building. Read only what unblocks you.
๐Ÿ”จ Lab: M-07 โ†’ infer.py with custom stop conditions ๐Ÿ” Stop conditions = RASL safe-stop policy ๐Ÿ“‹ View full parallel plan โ†’
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