Efficient fine-tuning technology for large models - Code World

Efficient fine-tuning technology for large models

Others 2023-12-23 17:28:21 views: null

NoSuchKey

Guess you like

Origin my.oschina.net/u/4299156/blog/10323864

Efficient fine-tuning technology for large models

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

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

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

Overview of the principles of efficient fine-tuning technology for large model parameters (2) - BitFit, Prefix Tuning, Prompt Tuning

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

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

LoRA, AdaLoRA, QLoRA, a review of the principle of efficient fine-tuning technology for large model parameters

A Survey of Fine-tuning Methods for Large Models

Summary of fine-tuning techniques for large models

【ChatGLM】ChatGLM fine-tuning of large models

LLM fine-tuning (3) | Analysis of RLHF + Reward Model + PPO technology in large models

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

LaVIN—Efficient Instruction Fine-tuning for Multimodal Dialogue Models

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

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

LLaVA: Bringing Visual Fine-tuning to Large Models

Practical tips for fine-tuning large language models with LoRA

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 +

Artificial intelligence large language model fine-tuning technology: SFT, LoRA, Freeze supervised fine-tuning methods

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

Summary of fine-tuning methods for large models: LoRA, Adapter, Prefix-tuning, P-tuning, Prompt-tuning

Simple understanding of LoRA (Low-Rank Adaptation) in efficient fine-tuning of large model parameters

Generative AI New World | Overview of the principles of efficient fine-tuning and quantification of large model parameters

In the era of AIGC, how can fine-tuning of large models play the most important role?

LoRA: A Low-Rank Adaptive Fine-tuning Model for Large Models

Full-parameter fine-tuning of large language models with limited resources

[AI] Algorithm cheat sheet - summarizing the fine-tuning method of large models

Bloom&LLAMA of large models----SFT (model fine-tuning)

Recommended

Ranking

Vue the mount point, variable, event, js objects, textual instructions, filters, and event attribute command instructions

websphere8.55 access https://IP:port/fms

High-low version version vsphere deployment export of OVF newspaper "vmx-13 series hardware is not supported" solution

Codeforces 1254C / 1255F Point Ordering (interactive title)

quartz2.3.0 (fourteen) trigger trigger prioritization

Python knowledge notes (+4): popular understanding of concepts such as list (List), tuple (Tuple) and string (String)

Python2 video tutorials

The 2023 Amazon Cloud Technology Game Developer Conference explores the vast boundaries of games from a technical perspective

Unity-based event manager

milk tea girl

Daily

More

2025-03-21(0)

2025-03-20(0)

2025-03-19(0)

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)

2025-03-14(0)

2025-03-13(0)

2025-03-12(0)