Natural Language Processing Practical Project 16- Full-process guidance, model tuning and evaluation of actual combat training of large language models based on CPU - Code World

Natural Language Processing Practical Project 16- Full-process guidance, model tuning and evaluation of actual combat training of large language models based on CPU

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Natural Language Processing Practical Project 16- Full-process guidance, model tuning and evaluation of actual combat training of large language models based on CPU

Natural Language Processing Practical Project 13 - The Whole Process of Keyword Extraction Model Training Based on GRU Model and NER

Natural Language Processing Practical Project 18-Calculation and Application Project of Logits and Loss Functions in NLP Model Training

Natural Language Processing Practical Project 17 - Research and Application of Fraud Call Recognition Method Based on Multiple NLP Models

Natural Language Processing: An Introduction to Large Language Models

[Natural Language Processing] [Large Model] Chinchilla: Large Language Model with Optimum Training Computing Utilization

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

Natural language processing practical project 8- BERT model construction, training BERT to realize the task of entity extraction and recognition

Natural Language Processing Practical Project 12-Practice of Sentiment Analysis Task Based on CNN-BiGRU Model of Attention Mechanism

[Natural Language Processing] [Large Model] LaMDA: A Language Model for Conversational Applications

[Natural Language Processing] [Large Model] CodeGeeX: A Multilingual Pre-Training Model for Code Generation

Natural language processing practical project 5-text data processing input model operation, take named entity recognition as an example, get through NLP model training from 0 to 1

[Natural Language Processing] [Large Model] DeepMind's large model Gopher

[Natural Language Processing] [Large Model] LoRA and BLOOM-LORA implementation codes for fine-tuning large model methods with very low resources

"Natural Language Processing" chapter7-pre-training language model

[Natural Language Processing] [Large Model] GLM-130B: An open source bilingual pre-training language model

Practical tips for fine-tuning large language models with LoRA

Natural Language Processing 22-A quick question and answer system based on local knowledge base, using the Chinese training set of the large model as the knowledge base

Theory and practice "combat core technology and algorithm processing natural language Python" "based on natural language processing depth learning 'and

The most complete history of natural language processing evaluation benchmark share - data collection, baseline (pre-training) model, corpus, leaderboard

Pytorch entry to advanced (actual computer vision and natural language processing project)

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

[Natural Language Processing] [Large Model] Large Language Model BLOOM Reasoning Tool Test

[Natural Language Processing] [Large Model] CodeGen: A code large language model for multi-round program synthesis

Natural language processing practical project 15-comparison and practice of four text error correction models to solve everyone's writing problems

Full explanation of large language model evaluation: evaluation process, evaluation method and common problems

Attention Model in Natural Language Processing

The third ChatGPT training process of the large language model

ChatGPT: A Deep Learning-Based Natural Language Processing Model

Multimodal Model Based on Natural Language Processing_A Review

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