All courses
Guided Course
shipcodeops
LLM Fine-Tuning for Production
LoRA, QLoRA, dataset engineering, and the decision framework for when fine-tuning is the right answer — and when it isn't.
0/14
14 lessons
- 1. The Decision Framework6 min
- 2. Transformer Internals for Fine-Tuning7 min
- 3. LoRA from First Principles6 min
- 4. QLoRA — Fine-Tuning on a Single GPU6 min
- 5. Training Configuration6 min
- 6. Dataset formats and templates7 min
- 7. Building a training dataset7 min
- 8. Synthetic data generation8 min
- 9. Before/after evaluation7 min
- 10. RLHF and DPO basics8 min
- 11. Model cards and responsible release6 min
- 12. Exporting and serving fine-tuned models6 min
- 13. Multi-adapter serving6 min
- 14. Capstone — fine-tune and deploy8 min
About Nybble™
The AI space moves fast.
Nybble™ is how you keep up — and stay sharp.
Snack
What happened. In two minutes.
The AI news cycle moves at a pace no one can keep up with. Snack distills what launched, what shipped, and what matters — every day, without the filler.
Go to SnackStack
The concepts behind the headlines.
News tells you what. Stack tells you why and how. From RAG architectures to agentic evals, these are the ideas that will shape what you build next.
Go to StackHack
Prove you actually get it.
Reading about LangChain is not the same as knowing it. Hack challenges you with production-grade questions, then shows you the references that make the answer stick.
Go to Hack