Видео с ютуба Peft

더 똑똑하게, 더 효율적으로 : AI의 PEFT 혁명

What Is Parameter-efficient Fine-tuning (PEFT) For LLMs? - Emerging Tech Insider

[Concept Review] LLM을 위한 매개변수 효율적인 미세 조정(PEFT)란?

거대 AI 스마트하게 가르치기, PEFT

Fine-Tuning Local Models with LoRA in Python (Theory & Code)

Learn Fine Tuning LLMs in 2 hours | RAGs vs Fine Tuning | Quantization | PEFT Techniques

Parameter-Efficient Fine-Tuning; PEFT (LoRA); GRPO / NLP& RL RU L12/S12 | 25s | girafe-ai

Finetuning LLMs - PEFT, LoRA and QLoRA Explained

Everything about LoRA and QLoRA EXPLAINED | PEFT Techniques | Fine Tuning

Parameter Efficient Fine Tuning PEFT

Lec 29 | Parameter Efficient Fine-Tuning (PEFT)

Large Language Model Fine-Tuning with PEFT and LoRA (Practical Implementation)

LoRA 04 基于PEFT进行llama3模型微调实战

大模型参数高效微调（PEFT）

Finetune LLMs to teach them ANYTHING with Huggingface and Pytorch | Step-by-step tutorial

LLM (Parameter Efficient) Fine Tuning - Explained!

✅ All You Need to Fine-tune LLMs With LoRA | PEFT beginner’s tutorial & code

LORA - QLORA Finetuning ve Quantization Nedir? (PEFT)

LoRA & QLoRA Explained In-Depth | Finetuning LLM Using PEFT Techniques

Google Colab에서 Instruction Fine-tuning 연습 (PEFT/QLoRA) - 구글 젬마(gemma-2b) 모델, KoAlpaca 한국어 데이터셋