Play Llama2 fast! Alibaba Cloud Machine Learning PAI launched the best practice (2) - full parameter fine-tuning training - Code World

Play Llama2 fast! Alibaba Cloud Machine Learning PAI launched the best practice (2) - full parameter fine-tuning training

Mobile 2023-07-28 17:45:50 views: null

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Origin my.oschina.net/u/5583868/blog/10091227

Play Llama2 fast! Alibaba Cloud Machine Learning PAI launched the best practice (2) - full parameter fine-tuning training

Play Llama2 fast! Alibaba Cloud Machine Learning PAI Launches Best Practices

Play Llama2 fast! Alibaba Cloud Machine Learning PAI Launches Best Practices (3) - Rapid Deployment of WebUI

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 +

Alibaba Cloud-Preparation for Machine Learning PAI

Introduction to Alibaba Cloud Machine Learning PAI

Fine-tuning Llama2 using DPO

ChatGLM2-6B fine-tuning practice based on P-Tuning v2 | JD Cloud technical team

Alibaba Cloud Machine Learning PAI launched a new feature platform (Feature Store) to help the efficient use of feature data in AI modeling scenarios

A new chapter of Llama2 open source large model and its practice in Alibaba Cloud

Tips for using the Peft library (2): Delete and merge fine-tuning parameters [remove the base model parameters (freeze) from the model parameters after full-parameter fine-tuning, and then publish this part of the parameter module trained by yourself]

How to reduce model cost? Platypus: Fast, cheap and powerful LLM that beats the competition with only one GPU and 5 hours of LLaMA2 fine-tuning

Fine-tuning training advertisement generation task based on ChatYuan-large-v2 language model Fine-tuning

How to use Huawei Cloud ModelArts platform to play with Llama2

"XrayGLM: Medical Diagnosis of X-ray Chest Film Based on VisualGLM-6B Fine-tuning Training" learning sharing and local project fine-tuning deployment practice

LLM-Large Model Training-Step (2)-Pre-training/Pre-Training(1): Full-Param Pre-Training (Full-Param Pre-Training) [Full parameter pre-training for LLaMA and other models] [Chinese unsupervised learning corpus 】

Fine-tuning the llama2 model tutorial: Create your own Python code generator

[Technical Talk] What is full parameter fine-tuning?

LLMs Parameter efficient fine-tuning PEFT techniques 2: Soft prompts

NeMo Chinese/English ASR model fine-tuning training practice

Fine-tuning training medical question answering tasks based on ChatYuan-large-v2

Alibaba Cloud PAI improves neural machine translation training efficiency by 5 times

ChatGLM2 of LLMs: Introduction and usage of ChatGLM-Finetuning (based on DeepSpeed) (four fine-tuning methods (Freeze method/Lora method/P-Tuning method/full parameters) + single-card/multi-card training

fine-tune fine-tuning Transfer learning transfer learning hands-on deep learning v2

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

[Transfer Learning] Pre-training and fine-tuning

ChatGLM server deployment fine-tuning (2)

Detailed notes on fine-tuning Llama 2 using QLoRA

¡Juega rápido a Llama2! Alibaba Cloud Machine Learning PAI lanza mejores prácticas

Jouez vite à Llama2 ! Alibaba Cloud Machine Learning PAI lance les meilleures pratiques

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