Видео с ютуба Prefix Tuning

Prefix Tuning for Large Language Model (LLM) Explained

Easily Build Advanced Soft Prompt Engineering techniques, Prompt Tuning and Prefix Tuning

Prefix-Tuning: Optimizing Continuous Prompts for Generation - Overview

What is Prompt Tuning?

Prefix-Tuning: Optimizing Continuous Prompts for Generation

Ahead-of-Time P-Tuning — Daniel Gavrilov, Tinkoff

Prefix-tuning: Optimizing Continuous Prompts for Generation

Fine-Tuning Explained

LLM2 Module 2 - Efficient Fine-Tuning | 2.3 PEFT and Soft Prompt

Prompt Engineering (Part 4) | Prefix Tuning | With language translation & product campaign examples

Prefix-Tuning+: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention

Подробное объяснение тонкой настройки LoRA и QLoRA

RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models

台大資訊 深度學習之應用 | ADL 6.5: (Soft) Prompt-Tuning (P-Tuning, Prefix Tuning) 人不懂沒關係機器懂就好

Объяснение LoRA (и немного о точности и квантизации)

Prefix-Tuning: Optimizing Continuous Prompts for Generation (Ko/En Subtitles)

Towards Parameter-Efficient Automation of Data Wrangling Tasks with Prefix-Tuning by David Vos

[ICASSP 2023] PREFIX TUNING FOR AUTOMATED AUDIO CAPTIONING

LLMs | Parameter Efficient Fine-Tuning (PEFT) | Lec 14.1

CONTROL PREFIXES for Text Generation