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M0 — Prompting + LLM APIs
Structured extraction, grounding/refusal drills, OpenAI-compatible wrapper with OSS fallback and cost/latency logging.
Module Progress0% Complete
100 min total
4 Lessons
0 Completed
Module Content
Prompting + Structured Extraction
Outcome: Emit valid JSON extraction + refusal on OOD Curated video (Telusko): Getting Structured Output in JSON format — https://www.youtube.com/watch?v=CllLqPwCjD4 (verified live via yt-dlp 2026-09-24). Pointer: llms-genai-for-practitioners/10 (question.py grounding pattern); shell: courses/video-scripts/genai-rag-agents/01.md.
9 minVideo
Start
LLM APIs (OpenAI-Compatible + OSS Fallback)
Call one chat API + OSS fallback; log cost/latency per call.
3 minArticle
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Quiz: Prompting + APIs
10 scenario MCQs, Bloom 3-4, gate >= 80.
6 minTutorial
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Refusal / Grounding Drill Set (20Q Golden)
Pass the 20Q golden refusal suite with full call logs.
82 minSubmission
Start