Practical Application of Large Models 16-A fine-tuning technique for large pre-trained models: Practical application of the Adapter-Tuning method, detailed introduction to the principle - Code World

Practical Application of Large Models 16-A fine-tuning technique for large pre-trained models: Practical application of the Adapter-Tuning method, detailed introduction to the principle

Enterprise 2024-01-08 18:57:32 views: null

NoSuchKey

Ich denke du magst

Origin blog.csdn.net/weixin_42878111/article/details/135407813

Practical Application of Large Models 16-A fine-tuning technique for large pre-trained models: Practical application of the Adapter-Tuning method, detailed introduction to the principle

Practical Application of Large Models 16-A fine-tuning technique for large pre-trained models: Practical application of the Adapter-Tuning method, detailed introduction to the principle

Practical Application of Large Models 16-A fine-tuning technique for large pre-trained models: Practical application of the Adapter-Tuning method, detailed introduction to the principle

Practical Application of Large Models 16-A fine-tuning technique for large pre-trained models: Practical application of the Adapter-Tuning method, detailed introduction to the principle

Practical Application of Large Models 16-A fine-tuning technique for large pre-trained models: Practical application of the Adapter-Tuning method, detailed introduction to the principle

Practical Application of Large Models 16-A fine-tuning technique for large pre-trained models: Practical application of the Adapter-Tuning method, detailed introduction to the principle

Practical Application of Large Models 16-A fine-tuning technique for large pre-trained models: Practical application of the Adapter-Tuning method, detailed introduction to the principle

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

Fine-tuning: In-depth analysis of the application of P-tuning v2 on large models

[Basic Chapter 001] Theoretical Basis of Large Models - A Preliminary Exploration of Large Models: Origin and Development "Practical Guide to Application and Development of AI Large Models"

Practical application of large models 12-GPT4 framework introduction and detailed training process, as well as parallelism strategies, expert trade-off mechanisms, reasoning trade-offs, etc.

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

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

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

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

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

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

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

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

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

Practical tips for fine-tuning large language models with LoRA

In the application of large models, we must be wary of "instant illusion"

Train your own Llama 2! Introduction to large model fine-tuning technology

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

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

Fine-tuning: In-depth analysis of the application of P-tuning v2 on large models

Fine-tuning: In-depth analysis of the application of P-tuning v2 on large models

Fine-tuning: In-depth analysis of the application of P-tuning v2 on large models

Fine-tuning: In-depth analysis of the application of P-tuning v2 on large models

Fine-tuning: In-depth analysis of the application of P-tuning v2 on large models

Empfohlen

Rangfolge

Täglich

Mehr

2025-04-25(0)

2025-04-24(0)

2025-04-23(0)

2025-04-22(0)

2025-04-21(0)

2025-04-20(0)

2025-04-19(0)

2025-04-18(0)

2025-04-17(0)

2025-04-16(0)