Fine-tuning & Model Adaptation · Basics
Fine-tuning & Model Adaptation — Basics
20 practice questions on Fine-tuning & Model Adaptation. Every question is written from a specific moment in a real lecture, and after you answer it links to that exact timestamp so you can check it yourself.
What this pack asks
The free questions in this pack. Answer choices and explanations appear as you play.
Neural network weights typically follow a bell-shaped distribution centered near zero. Why does plain 4-bit quantization with equally spaced bins work poorly for them?
Answer this one →In the context of large language models, what does quantization mean?
Answer this one →In a LoRA configuration, what does the "lora_alpha" setting control?
Answer this one →
Written from lectures by codebasics, Krish Naik. Not affiliated with or endorsed by any university, channel, creator or certification program.