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A hands-on look at fine-tuning open source AI models using LoRA/QLoRA techniques on Amazon product data. I discovered how a fine-tuned 8B parameter model outperformed GPT-4o and Claude, while navigating the practical challenges of limited GPU resources and hyperparameter optimization.

A hands-on look at fine-tuning open source AI models using LoRA/QLoRA techniques on Amazon product data. I discovered how a fine-tuned 8B parameter model outperformed GPT-4o and Claude, while navigating the practical challenges of limited GPU resources and hyperparameter optimization.

I built my first Retrieval-Augmented Generation (RAG) system - a student enrollment chatbot that demonstrates how AI can improve how educational institutions serve prospective students. The system combines natural language processing with a knowledge base to provide instant, accurate responses to student inquiries.

Running the open-source DeepSeek LLM locally on your machine.

How I developed an automated system using Python and a Raspberry Pi to send personalized follow-up emails to hiring contacts, improving the job application process while enhancing my skill in automation.