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LLM-Notes

This repo is a collection of educational PDFs and diagrams that explain the core concepts behind Large Language Models (LLMs), Transformers, Tokenization, Embeddings, Fine-Tuning, and Prompting — in both beginner-friendly and technical ways.

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This repo includes high-quality visual diagrams generated using AI tools. They simplify complex architectures like: The Transformer Encoder-Decoder structure The Embedding pipeline The Fine-Tuning flow (Base → Adaptation → Specialized Model)

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