LaVIN—Efficient Instruction Fine-tuning for Multimodal Dialogue Models - Code World

LaVIN—Efficient Instruction Fine-tuning for Multimodal Dialogue Models

News 2023-06-05 14:41:27 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/qq_27590277/article/details/130960077

LaVIN—Efficient Instruction Fine-tuning for Multimodal Dialogue Models

Efficient fine-tuning technology for large models

[Instruction fine-tuning of LLM series] Long story short, "Prompt" for instruction fine-tuning of large models

Efficient fine-tuning of large models - introduction to the PEFT framework

LLMs: LLaMA Efficient Tuning (an efficient tool that can efficiently fine-tune [full parameters/LoRA/QLoRA] mainstream large models [ChatGLM2/LLaMA2/Baichuan, etc.] [pre-training + instruction supervision fine-tuning +

Summary of three fine-tuning techniques for pre-training large language models: fine-tuning, parameter-efficient fine-tuning and prompt-tuning

LLMs instruction fine-tuning Instruction fine-tuning

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-into Attention论文解读

Under the overview of efficient fine-tuning of large models: DiffPruning, BitFit, LoRa, AdaLoRA, MAM Adapters, UniPELT

[Natural Language Processing] Efficient fine-tuning of large models: PEFT use cases

On the overview of efficient fine-tuning of large models: Adapter Tuning, AdaMix, PET, Prefix-Tuning, Prompt Tuning, P-tuning, P-tuning v2

The secret weapon for efficient development of large models: MindSpore PET, a low-parameter fine-tuning kit for large models

Lightweight fine-tuning Parameter-Efficient Fine-Tuning

A Survey of Fine-tuning Methods for Large Models

Summary of fine-tuning techniques for large models

【ChatGLM】ChatGLM fine-tuning of large models

LLMs multi-task instruction fine-tuning Multi-task instruction fine-tuning

From instruction fine-tuning to mathematical reasoning capabilities, explore the potential of large models | The 11th issue of the large model series activities on September 14

Practical application of large models 10 - Detailed explanation of large model domain knowledge and parameter efficient fine-tuning (PEFT) technology, and use PEFT to train your own large models

Download [T0] instruction fine-tuning dataset

LoRA fine-tuning stable diffusion models: principle and actual combat

LLaVA: Bringing Visual Fine-tuning to Large Models

Practical tips for fine-tuning large language models with LoRA

Large language model fine-tuning and PEFT efficient fine-tuning

Multimodal large model (large model foundation, fine-tuning, video understanding multimodal pre-training)

LLM: New paradigm of Prompt-Tuning/Instruction-tuning fine-tuning

[NLP] LLM efficient fine-tuning (PEFT)--LoRA

Efficient fine-tuning practice of LLaMA, ChatGLM, BLOOM parameters

QLoRA: Efficient fine-tuning strategies and practices for quantitative LLM

HuggingFace study notes--BitFit efficient fine-tuning

Recommended

Ranking

SpringBoot open source micro-channel ordering system! Comprehensive use projects, worth a visit!

hdu 6852Path6 (minimum cut shortest +)

Install sql server cluster

weblogic TypeError: unsupported operand type(s) for

The most complete macos installation xgboost tutorial in history

MySQL database slow query log configuration and analysis

The pit of script in the javaagent parameter of Btrace

Cloud management of enterprise storage management

Uncaught TypeError: str.replace is not a function

Pass 7230X Exam Using 7230X Exam Cram

Daily

More

2025-01-29(0)

2025-01-28(0)

2025-01-27(0)

2025-01-26(0)

2025-01-25(0)

2025-01-24(0)

2025-01-23(0)

2025-01-22(0)

2025-01-21(0)

2025-01-20(0)