LLM: finetune pre-trained language model - Code World

LLM: finetune pre-trained language model

News 2023-07-28 23:32:40 views: null

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LLM: finetune pre-trained language model

Pre-trained language model (a)

Pre-trained language model (two) NLP in

Application of pre-trained language model in Netease Yanxuan

Cross talk on basic knowledge of pre-trained language model

Two development routes of large language model (LLM): Finetune vs Prompt

DAMO Academy SPACE dialogue large model: pre-trained language model, pre-trained dialogue model, knowledge injection

[GPT of LLM series] GPT (Generative Pre-trained Transformer) generative pre-training model

Model comparison and implementation result analysis in the pre-trained language model (graphic explanation)

Explanation of context-aware language representation learning in pre-trained language model (graphic explanation)

zz from Word Embedding to Bert model - the history of pre-trained technical development of natural language processing

[文献阅读]——AMBERT: A PRE-TRAINED LANGUAGE MODEL WITH MULTI-GRAINED TOKENIZATION

[Natural Language Processing (NLP)] Machine Reading Comprehension Based on Pre-trained Model

[Self-attention mechanism must learn] BERT class pre-trained language model (including Python examples)

GLM: an autoregressive gap-filling multi-task pre-trained language model

pytorch uses cnn_finetune to call pre-trained models

PaddlePaddle pre-trained model collection

Save and read the pre-trained bert model

Natural language processing-load the pre-trained fastText model using facebook wiki-news-300d-1M.vec

X2-VLM: All-In-One Pre-trained Model For Vision-Language Tasks paper notes

Overview of pre-trained language models (3) - the actual use of pre-trained language models

[NLP]LLM---FineTune's own Llama2 model

LLM: Large Language Model

Large language model LLM

Natural language processing--gensim.word2vec module loads and uses Google’s pre-trained model googlenews-vectors-negative300.bin.gz

pytorch loads some parameters of the pre-trained model

The storage location of the pre-trained model weights downloaded by tensorflow

The problem that mmdetection and mmsegmentation cannot load the pre-trained model

Loading mechanism pytorch version of pre-trained model

[webAI] Tensorflow.js loads the pre-trained model

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