GitHub - sebuzdugan/LLM: A hands-on LLM fine-tuning and RAG experimentation repository covering Gemma and LLaMA-2 fine-tuning (LoRA & full FT), dataset creation, Hugging Face workflows, Azure integration, sentiment analysis, and end-to-end RAG prototypes built in Colab and Python.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
Copy_of_Dataset_creation_for_fine_tuning_LLM.ipynb		Copy_of_Dataset_creation_for_fine_tuning_LLM.ipynb
Fine_tune_Llama_2_on_Google_Colab.ipynb		Fine_tune_Llama_2_on_Google_Colab.ipynb
LLM_Hugging_Faces.ipynb		LLM_Hugging_Faces.ipynb
azure-connection.ipynb		azure-connection.ipynb
capsa_testing.ipynb		capsa_testing.ipynb
day1.ipynb		day1.ipynb
ft-example.ipynb		ft-example.ipynb
ft_lora_tuning.ipynb		ft_lora_tuning.ipynb
ragExpertKnowledgeWorker.ipynb		ragExpertKnowledgeWorker.ipynb
sentiment-analysis.ipynb		sentiment-analysis.ipynb
testingFineTunedModel.ipynb		testingFineTunedModel.ipynb
trainingFineTuneModel.ipynb		trainingFineTuneModel.ipynb

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A hands-on LLM fine-tuning and RAG experimentation repository covering Gemma and LLaMA-2 fine-tuning (LoRA & full FT), dataset creation, Hugging Face workflows, Azure integration, sentiment analysis, and end-to-end RAG prototypes built in Colab and Python.