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language-model-fine-tuning

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ksm26 / Finetuning-Large-Language-Models

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Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.

machine-learning data-scientist large-language-models model-training-and-evaluation finetuning-large-language-models data-preparation-for-nlp fine-tune-llms nlp-enthusiast model-adaptation advanced-nlp-techniques language-model-fine-tuning adaptive-models
  • Updated Oct 20, 2023
  • Jupyter Notebook

mudassir-08 / bert-ag-news-classification-system

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This project fine-tunes a BERT model on the AG News dataset for supervised news topic classification using pretrained contextual embeddings. The trained model is deployed as a live AI application for real-time inference, demonstrating a complete pipeline from fine-tuning to production deployment.

document-classification multi-class-classification contextual-embeddings nlp-transfer-learning bert-fine-tuning deep-learning-nlp huggingface-transformers language-model-fine-tuning bert-news-classification transformer-text-classification news-topic-detection text-classification-nlp attention-based-models ag-news-benchmark semantic-text-modeling bert-nlp-applications transformer-applications nlp-classifier-systems ai-text-understanding production-nlp-systems
  • Updated May 8, 2026
  • Jupyter Notebook

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