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GENERATIVE AI

Fine-tuning

Explore LLM fine-tuning techniques: LoRA rank and alpha configuration, QLoRA 4-bit quantization, PEFT parameter efficiency, instruction dataset formats, and RLHF reward modeling.

LoRAPEFTInstruction TuningRLHF
OPEN INTERACTIVE LAB ↗

What you'll explore

  • ✓Llm fine-tuning
  • ✓Lora training
  • ✓Peft
  • ✓Instruction tuning
  • ✓Rlhf
  • ✓Parameter efficient fine-tuning

About this lab

Explore LLM fine-tuning techniques: LoRA rank and alpha configuration, QLoRA 4-bit quantization, PEFT parameter efficiency, instruction dataset formats, and RLHF reward modeling. This simulation runs entirely in your browser — no installation, no account required, no data uploaded.

Part of the Generative AI Labs track — 6 labs covering the full curriculum.

PLATFORM FEATURES
✓ Runs 100% in browser — no server, no installs
✓ Adjustable parameters with real-time output
✓ Privacy-first: zero data collection or uploads
✓ Blockchain-verifiable experiment logs on Polygon
✓ Free to use — open to everyone