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

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

News 2023-08-22 19:32:55 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/qq_43692950/article/details/132380686

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

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

The intelligent question answering system based on the LLaMA fine-tuning model based on Chinese financial knowledge: LLaMA large model training fine-tuning reasoning and other detailed teaching

BERT model fine-tuning in practice: Use Transformers to fine-tune the BERT model for question answering and text classification tasks

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

[AI Medicine] Several fine-tuning & pre-training large model projects in the medical field

Large model fine-tuning: a powerful tool for adapting to new tasks

LORA large model accelerates fine-tuning and training algorithms

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

Medical question answering robot project deployment

EMA training fine-tuning

Based on chinese-roberta-wwm-ext fine-tuning training 6 classification sentiment analysis model

Use ChatGLM2-6b fine-tuning to solve text binary classification tasks

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

【CS324】LLM (large model capabilities, data, architecture, distributed training, fine-tuning, etc.)

Common techniques in LLM large language model training: fine-tuning and embedding

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

Large-scale language model fine-tuning technology - the difference and connection between Instruction and Question

fine-tuning: the pre-migration training

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

[KBQA] Realization of Question Answering System for Medical Knowledge Graph

Application practice of knowledge question answering based on large language model – knowledge base construction (Part 2)

Fine-tuning implementation based on ChatGLM

Fine-tuning of Stable Diffusion based on LoRA

LLM-Large Model Training-Step (3): Instruction fine-tuning [Superviser Fine-Tuning] [Chinese instruction corpus] [Training method is the same as unsupervised learning] [Instruction corpus style: instruction+input+output]

Interpretation of Lawyer LLaMA, fine-tuning of large models in Yanshen's professional field: data set construction, model training

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

Building a large language model question answering knowledge base based on Amazon cloud technology services

Practice of Knowledge Question Answering Application Based on Large Language Model – Knowledge Base Construction (Part 1)

NLP large model fine-tuning principle

Recommended

Ranking

Source code interpretation of docValue in lucene (7) - reading of SortedDocValue

Performance Optimization | 30 Ge Java performance optimization techniques, would you?

In-depth understanding of the working principle of Cache

pytorch basic syntax

Arm Development Studio latest version 2020.0 release! Download the attached link

TCP system parameter settings

PhantomJS simple to use

Unsupported ONNX opset version: 11

I won't say much about what I'm doing, I understand everything.

Summary of several shortcut operations of visual studio programming C#-improve efficiency

Daily

More

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)